CN101621808A - Method and device for confirming cell coverage area - Google Patents

Abstract

Translated fromChinese

本发明公开了一种确定小区覆盖范围的方法和装置。所述方法包括：步骤A、从操作和维护中心OMC系统中采集并选取确定源小区覆盖范围所需的原始数据；步骤B、根据所采集并选取的确定源小区覆盖范围所需的原始数据对各个采样点小区进行分类，得到各个采样点小区的分类信息；根据各个采样点小区的分类信息得到源小区的覆盖范围。应用本发明，能够实时准确地确定源小区的覆盖范围，并可以通过比较根据从OMC系统中采集并选取的不同时间段的原始数据得到的多个源小区覆盖范围以判断源小区的覆盖范围偏差，有助于运营商及时有效地发现源小区的覆盖范围误差，从而更好地进行网络维护和优化工作。

The invention discloses a method and a device for determining the coverage area of a cell. The method comprises: step A, collecting and selecting the original data required for determining the coverage of the source cell from the OMC system of the operation and maintenance center; Each sampling point cell is classified to obtain the classification information of each sampling point cell; and the coverage area of the source cell is obtained according to the classification information of each sampling point cell. By applying the present invention, the coverage of the source cell can be accurately determined in real time, and the coverage deviation of the source cell can be judged by comparing the coverage of multiple source cells obtained from the original data of different time periods collected and selected from the OMC system , which helps the operator to find the coverage error of the source cell in a timely and effective manner, so as to better perform network maintenance and optimization.

Description

Translated fromChinese

一种确定小区覆盖范围的方法和装置A method and device for determining cell coverage

技术领域technical field

本发明涉及移动通信中的小区覆盖技术，具体涉及一种确定小区覆盖范围的方法和装置。The invention relates to cell coverage technology in mobile communication, in particular to a method and device for determining cell coverage.

背景技术Background technique

近二十年来，陆地无线移动通信取得了迅猛的发展。手机用户与基站之间的通信是以电磁波传播的方式进行信息联系的。在一个移动通信网络中，通常包括数量庞大的小区，每个小区都有自己的覆盖范围，影响移动通信质量的重要因素之一就是小区覆盖出现问题，比如越区覆盖、临界覆盖、欠覆盖等，因此，如何在包括大量小区的移动通信网络中确定各个小区的覆盖范围对于网络优化而言至关重要。In the past two decades, land wireless mobile communication has achieved rapid development. Communication between mobile phone users and base stations is carried out in the form of electromagnetic wave propagation. In a mobile communication network, there are usually a large number of cells, and each cell has its own coverage area. One of the important factors affecting the quality of mobile communication is the problem of cell coverage, such as over-area coverage, critical coverage, under-coverage, etc. , therefore, how to determine the coverage of each cell in a mobile communication network including a large number of cells is very important for network optimization.

在现有技术中，一般有两种确定小区覆盖范围的方式：In the prior art, there are generally two ways to determine the coverage of a cell:

1)路测方式。1) Drive test method.

即测量人员通过步行、驾车等方式在所需测量的小区和采样点所在小区中沿一定的测量路径行进，并在行进过程中利用场强测试仪逐点测量该测量路径上该小区的场强值，以获得该小区的场强分布，由于该路测方式中的测量路径是线状的，因此测量场强时所采集的数据(即场强值)也是线状的，即所测得的场强数据为该小区在测量路径上的场强值。由于受地面、地形以及成本等因素的限制，因此不可能通过上述的路测方式得到所需测量区域中每一点的场强数据，而只能得到该小区场强分布中的部分离散值。That is to say, the surveyor travels along a certain measurement path in the area to be measured and the area where the sampling point is located by walking, driving, etc., and uses the field strength tester to measure the field strength of the area on the measurement path point by point during the process value to obtain the field strength distribution of the cell. Since the measurement path in this drive test method is linear, the data collected when measuring the field strength (i.e. field strength value) is also linear, that is, the measured The field strength data is the field strength value of the cell on the measurement path. Due to the limitation of the ground, topography, cost and other factors, it is impossible to obtain the field strength data of each point in the required measurement area through the above-mentioned drive test method, but only some discrete values in the field strength distribution of the cell can be obtained.

2)预测方式。2) Prediction method.

即可利用已知区域的场强分布并通过相应的算法(例如，场强预测算法)来预测难测区域的场强分布。在所述的预测方式中，不但要求上述算法中的传播模型符合当前网络的实际情况，而且在预测过程中还需要很多十分详细的地理数据。例如，上述的地理数据可包括地形、地貌、建筑物位置等数据，还可包括具体的地形走势信息、建筑物高度信息等参数，甚至还可包括各阻挡物的材质信息等参数；而且，由于实际的地理环境每时每刻都在发生变化，从而导致上述地理数据也在随时发生变化，所以使用上述的预测方式一般很难获得非常符合实际的预测结果。因此，上述的预测方式需要对大量的实测数据进行分析、拟和、统计，所需要的数据量大、计算量也大、需要配套的地理数据、有效时段小。That is, the field strength distribution in the known region can be used to predict the field strength distribution in the difficult-to-measure region through a corresponding algorithm (for example, a field strength prediction algorithm). In the above prediction method, not only the propagation model in the above algorithm is required to conform to the actual situation of the current network, but also a lot of very detailed geographical data are required in the prediction process. For example, the above-mentioned geographical data may include data such as terrain, landform, and building location, and may also include parameters such as specific terrain trend information, building height information, and even parameters such as material information of each obstacle; and, because The actual geographical environment is changing every moment, resulting in the above geographical data also changing at any time, so it is generally difficult to obtain very realistic prediction results by using the above prediction methods. Therefore, the above-mentioned prediction method needs to analyze, fit, and count a large amount of measured data, which requires a large amount of data, a large amount of calculation, supporting geographical data, and a small effective period.

由此可知，在现有确定小区覆盖范围的方法中，要么需要耗费大量人力物力进行测量，要么需要大量的数学统计计算，而且都不能实时准确地确定小区电平覆盖范围。It can be seen that in the existing methods for determining the coverage of a cell, either a large amount of manpower and material resources are required for measurement, or a large amount of mathematical statistical calculations are required, and neither of them can accurately determine the coverage of a cell level in real time.

发明内容Contents of the invention

有鉴于此，本发明的主要目的在于提供一种在移动通信网络中确定小区覆盖范围的方法和装置，能够实时准确地确定小区的覆盖范围，有助于运营商及时有效地发现小区的覆盖范围误差，从而更好地进行网络维护和优化工作。In view of this, the main purpose of the present invention is to provide a method and device for determining the coverage of a cell in a mobile communication network, which can accurately determine the coverage of a cell in real time and help operators to find the coverage of a cell in a timely and effective manner error, so as to better carry out network maintenance and optimization work.

为达到上述目的，本发明的技术方案具体是这样实现的：In order to achieve the above object, the technical solution of the present invention is specifically realized in the following way:

一种确定小区覆盖范围的方法，所述方法包括：A method for determining cell coverage, the method comprising:

步骤A、从操作和维护中心OMC系统中采集并选取确定源小区覆盖范围所需的原始数据；Step A, collect and select the original data needed to determine the coverage of the source cell from the operation and maintenance center OMC system;

步骤B、根据所采集并选取的确定源小区覆盖范围所需的原始数据对各个采样点小区进行分类，得到各个采样点小区的分类信息；根据各个采样点小区的分类信息得到源小区的覆盖范围。Step B, according to the original data collected and selected to determine the coverage of the source cell, each sampling point cell is classified to obtain the classification information of each sampling point cell; according to the classification information of each sampling point cell, the coverage of the source cell is obtained .

所述确定源小区覆盖范围所需的原始数据包括：源小区平均下行电平；所述各个采样点小区的分类信息为各个采样点小区的源小区平均下行电平区间分类信息；所述步骤B包括：The original data required for determining the coverage of the source cell includes: the average downlink level of the source cell; the classification information of each sampling point cell is the source cell average downlink level interval classification information of each sampling point cell; the step B include:

步骤B1、统计所采集并选取的确定源小区覆盖范围所需的原始数据中每个源小区平均下行电平值出现的次数，并计算每个源小区平均下行电平值在所有源小区平均电平值中出现的概率；Step B1, count the number of occurrences of the average downlink level value of each source cell in the original data collected and selected to determine the coverage of the source cell, and calculate the average downlink level value of each source cell in the average level of all source cells the probability of occurrence in the average;

步骤B2、以源小区平均下行电平值为横轴，以概率为纵轴，并用移动平均算法对每个源小区平均下行电平值在所有源小区平均电平值中出现的概率进行平滑连线得到一个概率曲线，以所述概率曲线的波谷为分段点对源小区平均下行电平值进行区间划分；Step B2, take the average downlink level value of the source cell as the horizontal axis, and take the probability as the vertical axis, and use the moving average algorithm to smooth and connect the probability that the average downlink level value of each source cell appears in the average level value of all source cells line to obtain a probability curve, and use the trough of the probability curve as the segmentation point to divide the average downlink level value of the source cell into intervals;

步骤B3、根据所采集并选取的各个采样点小区对应的源小区平均下行电平将各个采样点小区划分到不同的源小区平均下行电平区间中，从而得到各个采样点小区的源小区平均下行电平区间分类信息；Step B3. According to the collected and selected average downlink level of the source cell corresponding to each sampling point cell, each sampling point cell is divided into different source cell average downlink level intervals, thereby obtaining the source cell average downlink level of each sampling point cell Level interval classification information;

步骤B4、根据各个采样点小区的源小区平均下行电平区间分类信息得到源小区的覆盖范围。Step B4. Obtain the coverage of the source cell according to the interval classification information of the source cell average downlink level of each sampling point cell.

所述确定源小区覆盖范围所需的原始数据包括：源小区对各个采样点小区的弱干扰区间的采样点数目、源小区对各个采样点小区的临界干扰区间的采样点数目和源小区对各个采样点小区的强干扰区间的采样点数目；所述各个采样点小区的分类信息为各个采样点小区的采样点数目分类信息；The original data required to determine the coverage of the source cell includes: the number of sampling points in the weak interference interval of the source cell to each sampling point cell, the number of sampling points in the critical interference interval of the source cell to each sampling point cell, and the source cell to each sampling point. The number of sampling points in the strong interference interval of the sampling point sub-district; the classification information of each sampling point sub-district is the sampling point number classification information of each sampling point sub-district;

所述步骤B包括：Described step B comprises:

步骤B11、对所采集并选取的源小区对各个采样点小区的三个干扰区间的采样点数目分别进行均值计算，得到相应干扰区间的平均采样点数目；Step B11, performing mean calculation on the number of sampling points in the three interference intervals of the collected and selected source cells for each sampling point cell, respectively, to obtain the average number of sampling points in the corresponding interference interval;

步骤B12、根据源小区对各个采样点小区的三个干扰区间中的采样点数目和相应干扰区间的平均采样点数目之间的大小关系对各个采样点小区进行分类，得到各个采样点小区的采样点数目分类信息；Step B12, classify each sampling point cell according to the size relationship between the number of sampling points in the three interference intervals of each sampling point cell and the average sampling point number in the corresponding interference interval by the source cell, and obtain the sampling points of each sampling point cell point number classification information;

步骤B13、根据各个采样点小区的采样点数目分类信息得到源小区的覆盖范围。Step B13, obtaining the coverage of the source cell according to the classification information of the number of sampling points of each sampling point cell.

步骤B12中所述对各个采样点小区进行分类，得到各个采样点小区的采样点数目分类信息包括：Described in step B12 classifies each sampling point sub-district, and obtains the sampling point number classification information of each sampling point sub-district including:

将所采集并选取的源小区对各个采样点小区的三个干扰区间中的采样点数目分别与步骤B11得到的相应干扰区间的平均采样点数目进行比较，并根据比较的情况得到各个采样点小区的采样点数目分类信息；Compare the number of sampling points in the three interference intervals of the collected and selected source cells to the three interference intervals of each sampling point cell with the average number of sampling points in the corresponding interference interval obtained in step B11, and obtain each sampling point cell according to the comparison The classification information of the number of sampling points;

其中，采样点小区的干扰区间中的采样点数目大于或等于相应干扰区间的平均采样点数目的情况标记为大，采样点小区的干扰区间中的采样点数目小于相应干扰区间的平均采样点数目的情况标记为小，根据各个采样点小区的三个干扰区间的标记组合将各个采样点小区分为8类。Among them, the case where the number of sampling points in the interference interval of the sampling point cell is greater than or equal to the average number of sampling points in the corresponding interference interval is marked as large, and the number of sampling points in the interference interval of the sampling point cell is smaller than the average number of sampling points in the corresponding interference interval The mark is small, and each sample point cell is divided into 8 categories according to the mark combination of the three interference intervals of each sample point cell.

所述8类采样点小区包括：The 8 types of sampling point communities include:

第1类：弱干扰区标记为大，临界干扰区标记为大，强干扰区标记为大；Category 1: The weak interference area is marked as large, the critical interference area is marked as large, and the strong interference area is marked as large;

第2类：弱干扰区标记为大，临界干扰区标记为大，强干扰区标记为小；Type 2: The weak interference area is marked as large, the critical interference area is marked as large, and the strong interference area is marked as small;

第3类：弱干扰区标记为大，临界干扰区标记为小，强干扰区标记为大；Category 3: The weak interference area is marked as large, the critical interference area is marked as small, and the strong interference area is marked as large;

第4类：弱干扰区标记为大，临界干扰区标记为小，强干扰区标记为小；Category 4: The weak interference area is marked as large, the critical interference area is marked as small, and the strong interference area is marked as small;

第5类：弱干扰区标记为小，临界干扰区标记为大，强干扰区标记为大；Category 5: The weak interference area is marked as small, the critical interference area is marked as large, and the strong interference area is marked as large;

第6类：弱干扰区标记为小，临界干扰区标记为大，强干扰区标记为小；Type 6: The weak interference area is marked as small, the critical interference area is marked as large, and the strong interference area is marked as small;

第7类：弱干扰区标记为小，临界干扰区标记为小，强干扰区标记为大；Type 7: The weak interference area is marked as small, the critical interference area is marked as small, and the strong interference area is marked as large;

第8类：弱干扰区标记为小，临界干扰区标记为小，强干扰区标记为小。Category 8: The weak interference area is marked as small, the critical interference area is marked as small, and the strong interference area is marked as small.

所述确定源小区覆盖范围所需的原始数据包括：源小区平均下行电平、源小区对各个采样点小区的弱干扰区间的采样点数目、源小区对各个采样点小区的临界干扰区间的采样点数目和源小区对各个采样点小区的强干扰区间的采样点数目；所述各个采样点小区的分类信息包括各个采样点小区的源小区平均下行电平区间分类信息和各个采样点小区的采样点数目分类信息；The original data required to determine the coverage of the source cell includes: the average downlink level of the source cell, the number of sampling points in the weak interference interval of the source cell to each sampling point cell, and the sampling points of the critical interference interval of each sampling point cell from the source cell The number of points and the number of sampling points in the strong interference interval of the source cell to each sampling point cell; the classification information of each sampling point cell includes the source cell average downlink level interval classification information of each sampling point cell and the sampling points of each sampling point cell point number classification information;

所述步骤B包括：Described step B comprises:

步骤B111、统计所采集并选取的确定源小区覆盖范围所需的原始数据中每个源小区平均下行电平值出现的次数，并计算每个源小区平均下行电平值在所有源小区平均电平值中出现的概率；Step B111, count the number of occurrences of the average downlink level value of each source cell in the raw data collected and selected to determine the coverage of the source cell, and calculate the average downlink level value of each source cell in the average level of all source cells the probability of occurrence in the average;

步骤B112、以源小区平均下行电平值为横轴，以概率为纵轴，并用移动平均算法对每个源小区平均下行电平值在所有源小区平均电平值中出现的概率进行平滑连线得到一个概率曲线，以所述概率曲线的波谷为分段点对源小区平均下行电平值进行区间划分；Step B112, take the average downlink level value of the source cell as the horizontal axis, and take the probability as the vertical axis, and use the moving average algorithm to smooth and connect the probability that the average downlink level value of each source cell appears in the average level value of all source cells line to obtain a probability curve, and use the trough of the probability curve as the segmentation point to divide the average downlink level value of the source cell into intervals;

步骤B113、根据所采集并选取的各个采样点小区对应的源小区平均下行电平将各个采样点小区划分到不同的源小区平均下行电平区间中，从而得到各个采样点小区的源小区平均下行电平区间分类信息；Step B113, according to the collected and selected average downlink level of the source cell corresponding to each sampling point cell, divide each sampling point cell into different source cell average downlink level intervals, so as to obtain the source cell average downlink level of each sampling point cell Level interval classification information;

步骤B114、对所采集并选取的源小区对各个采样点小区的三个干扰区间的采样点数目分别进行均值计算，得到相应干扰区间的平均采样点数目；Step B114, performing mean calculation on the number of sampling points in the three interference intervals of the collected and selected source cell for each sampling point cell, respectively, to obtain the average number of sampling points in the corresponding interference interval;

步骤B115、根据源小区对各个采样点小区的三个干扰区间中的采样点数目和相应干扰区间的平均采样点数目之间的大小关系对各个采样点小区进行分类，得到各个采样点小区的采样点数目分类信息；Step B115, classify each sampling point cell according to the size relationship between the number of sampling points in the three interference intervals of each sampling point cell and the average sampling point number in the corresponding interference interval by the source cell, and obtain the sampling points of each sampling point cell point number classification information;

步骤B116：根据各个采样点小区的源小区平均下行电平区间分类信息和各个采样点小区的采样点数目分类信息得到源小区的覆盖范围。Step B116: Obtain the coverage of the source cell according to the classification information of the source cell average downlink level interval of each sampling point cell and the sampling point number classification information of each sampling point cell.

步骤B中所述根据各个采样点小区的分类信息得到源小区的覆盖范围包括：Obtaining the coverage of the source cell according to the classification information of each sampling point cell described in step B includes:

将各个采样点小区的分类信息加入到显示小区分布图的系统上得到源小区的覆盖范围图Add the classification information of each sampling point cell to the system that displays the cell distribution map to obtain the coverage map of the source cell

所述系统为地理信息系统GIS。The system is a geographic information system GIS.

所述方法进一步包括：The method further comprises:

根据步骤A和步骤B所述的方法从OMC系统中采集并选取不同时间段的原始数据，根据所述原始数据得到多个源小区覆盖范围，并比较所得到的多个源小区覆盖范围，以判断源小区的覆盖误差。According to the method described in step A and step B, collect and select the original data of different time periods from the OMC system, obtain a plurality of source cell coverages according to the original data, and compare the obtained multiple source cell coverages, with Determine the coverage error of the source cell.

一种确定小区覆盖范围的装置，所述装置包括：数据采集单元、采样点小区分类单元和采样点小区分类信息处理单元，数据采集单元和采样点小区分类信息处理单元分别连接到采样点小区分类单元；其中，A device for determining the coverage of a cell, said device comprising: a data collection unit, a sampling point cell classification unit and a sampling point cell classification information processing unit, the data collection unit and the sampling point cell classification information processing unit are respectively connected to the sampling point cell classification unit; among them,

数据采集单元用于从操作和维护中心OMC系统中采集并选取确定源小区覆盖范围所需的原始数据，并将所述原始数据发送到所述采样点小区分类单元；The data acquisition unit is used to collect and select the original data required to determine the coverage of the source cell from the operation and maintenance center OMC system, and send the original data to the sampling point cell classification unit;

采样点小区分类单元用于根据数据采集单元发送来的原始数据对各个采样点小区进行分类，得到各个采样点小区的分类信息，并将得到的各个采样点小区的分类信息发送给采样点小区分类信息处理设备；The sampling point cell classification unit is used to classify each sampling point cell according to the raw data sent by the data acquisition unit, obtain the classification information of each sampling point cell, and send the obtained classification information of each sampling point cell to the sampling point cell classification information processing equipment;

采样点小区分类信息处理单元用于根据采样点小区分类单元发送来的各个采样点小区的分类信息得到源小区的覆盖范围。The sampling point cell classification information processing unit is configured to obtain the coverage of the source cell according to the classification information of each sampling point cell sent by the sampling point cell classification unit.

所述采样点小区分类单元包括电平出现概率计算模块、源小区平均下行电平区间划分模块和采样点小区按电平分类模块，电平出现概率计算模块和采样点小区按电平分类模块分别与源小区平均下行电平区间划分模块连接；其中，The sampling point cell classification unit includes a level occurrence probability calculation module, a source cell average downlink level interval division module and a sampling point cell classification module by level, a level occurrence probability calculation module and a sampling point cell classification module by level respectively Connect with the source cell average downlink level interval division module; wherein,

电平出现概率计算模块用于接收数据采集单元发送来的确定源小区覆盖范围所需的原始数据，所述确定源小区覆盖范围所需的原始数据包括：源小区平均下行电平，统计所述原始数据中每个源小区平均下行电平值出现的次数，并计算每个源小区平均下行电平值在所有源小区平均电平值中出现的概率，将计算得到的每个源小区平均下行电平值在所有源小区平均电平值中出现的概率发送到源小区平均下行电平区间划分模块；The level occurrence probability calculation module is used to receive the original data required for determining the coverage of the source cell sent by the data acquisition unit, the original data required for determining the coverage of the source cell includes: the average downlink level of the source cell, and the statistics of the The number of occurrences of the average downlink level value of each source cell in the original data, and calculate the probability that the average downlink level value of each source cell appears in the average level value of all source cells, and calculate the average downlink level value of each source cell The probability that the level value appears in the average level value of all source cells is sent to the source cell average downlink level interval division module;

源小区平均下行电平区间划分模块用于以源小区平均下行电平值为横轴，以概率为纵轴，用移动平均算法将电平出现概率计算模块发送来的每个源小区平均下行电平值在所有源小区平均电平值中出现的概率进行平滑连线得到一个概率曲线，以所述概率曲线的波谷为分段点对源小区平均下行电平值进行区间划分，并将源小区平均下行电平区间划分结果发送到采样点小区按电平分类模块；The source cell average downlink level interval division module is used to use the average downlink level of the source cell as the horizontal axis and the probability as the vertical axis to use the moving average algorithm to calculate the average downlink level of each source cell sent by the level occurrence probability calculation module. The probability that the average value appears in the average level value of all source cells is smoothed and connected to obtain a probability curve, and the trough of the probability curve is used as a segment point to divide the average downlink level value of the source cell into intervals, and the source cell The average downlink level interval division result is sent to the level classification module of the sampling point cell;

采样点小区按电平分类模块用于根据源小区平均下行电平区间划分模块发送来的源小区的区间划分结果和所采集并选取的各个采样点小区对应的源小区平均下行电平将各个采样点小区划分到不同的源小区平均下行电平区间中，从而得到各个采样点小区的分类信息，所述各个采样点小区的分类信息为各个采样点小区的源小区平均下行电平区间分类信息，并将得到的采样点小区的源小区平均下行电平区间分类信息发送给采样点小区分类信息处理单元。The sampling point cell classification module is used to classify each sample according to the interval division result of the source cell sent by the source cell average downlink level interval division module and the collected and selected source cell average downlink level corresponding to each sampling point cell. Point cells are divided into different source cell average downlink level intervals, thereby obtaining the classification information of each sampling point cell, the classification information of each sampling point cell is the source cell average downlink level interval classification information of each sampling point cell, and sending the obtained interval classification information of the source cell average downlink level of the sampling point cell to the sampling point cell classification information processing unit.

所述采样点小区分类单元包括采样点数目均值计算模块和采样点小区按采样点数目分类模块，采样点数目均值计算模块与采样点小区按采样点数目分类模块连接；其中，The sampling point community classification unit includes a sampling point number average calculation module and a sampling point community classification module according to the sampling point number, and the sampling point number average calculation module is connected with the sampling point community according to the sampling point number classification module; wherein,

采样点数目均值计算模块用于接收数据采集单元发送来的确定源小区覆盖范围所需的原始数据，所述确定源小区覆盖范围所需的原始数据包括：源小区对各个采样点小区的弱干扰区间的采样点数目、源小区对各个采样点小区的临界干扰区间的采样点数目和源小区对各个采样点小区的强干扰区间的采样点数目，对所采集并选取的源小区对各个采样点小区的三个干扰区间的采样点数目分别进行均值计算，得到相应干扰区间的平均采样点数目，将得到的源小区对各个采样点小区的三个干扰区间的平均采样点数目发送到采样点小区按采样点数目分类模块；The sampling point number average calculation module is used to receive the original data required for determining the coverage of the source cell sent by the data acquisition unit, and the original data required for determining the coverage of the source cell includes: the weak interference of the source cell to each sampling point cell The number of sampling points in the interval, the number of sampling points in the critical interference interval of the source cell to each sampling point cell, and the number of sampling points in the strong interference interval of the source cell to each sampling point cell, for the collected and selected source cell to each sampling point Calculate the mean value of the number of sampling points in the three interference intervals of the cell to obtain the average number of sampling points in the corresponding interference interval, and send the obtained average number of sampling points in the three interference intervals of the source cell to each sampling point cell to the sampling point cell Classify modules according to the number of sampling points;

采样点小区按采样点数目分类模块用于根据源小区对各个采样点小区的三个干扰区间中的采样点数目和采样点数目均值计算模块发送来的相应干扰区间的平均采样点数目之间的大小关系对各个采样点小区进行分类，得到各个采样点小区的分类信息，所述各个采样点小区的分类信息为各个采样点小区的采样点数目分类信息，并将得到的各个采样点小区的采样点数目分类信息发送给采样点小区分类信息处理单元。The sampling point cell is classified according to the number of sampling points, and the module is used to calculate the average number of sampling points in the corresponding interference interval sent by the source cell to the three interference intervals of each sampling point cell and the average number of sampling points. The size relationship classifies each sampling point sub-district to obtain the classification information of each sampling point sub-district, the classification information of each sampling point sub-district is the sampling point number classification information of each sampling point sub-district, and the sampling of each sampling point sub-district obtained The point number classification information is sent to the sampling point cell classification information processing unit.

所述采样点小区分类单元包括电平出现概率计算模块、源小区平均下行电平区间划分模块、采样点小区按电平分类模块、采样点数目均值计算模块和采样点小区按采样点数目分类模块，电平出现概率计算模块和采样点小区按电平分类模块分别与源小区平均下行电平区间划分模块连接，采样点数目均值计算模块与采样点小区按采样点数目分类模块连接；其中，The sampling point cell classification unit includes a level occurrence probability calculation module, a source cell average downlink level interval division module, a sampling point cell classification module by level, a sampling point number average calculation module, and a sampling point cell classification module by the sampling point number , the level occurrence probability calculation module and the sampling point sub-district are connected with the source cell average downlink level interval division module respectively, and the sampling point number average calculation module is connected with the sampling point sub-district according to the sampling point number classification module; wherein,

电平出现概率计算模块用于接收数据采集单元发送来的确定源小区覆盖范围所需的原始数据，所述确定源小区覆盖范围所需的原始数据包括：源小区平均下行电平，统计所述原始数据中每个源小区平均下行电平值出现的次数，并计算每个源小区平均下行电平值在所有源小区平均电平值中出现的概率，将计算得到的每个源小区平均下行电平值在所有源小区平均电平值中出现的概率发送到源小区平均下行电平区间划分模块；The level occurrence probability calculation module is used to receive the original data required for determining the coverage of the source cell sent by the data acquisition unit, the original data required for determining the coverage of the source cell includes: the average downlink level of the source cell, and the statistics of the The number of occurrences of the average downlink level value of each source cell in the original data, and calculate the probability that the average downlink level value of each source cell appears in the average level value of all source cells, and calculate the average downlink level value of each source cell The probability that the level value appears in the average level value of all source cells is sent to the source cell average downlink level interval division module;

源小区平均下行电平区间划分模块用于以源小区平均下行电平值为横轴，以概率为纵轴，用移动平均算法将电平出现概率计算模块发送来的每个源小区平均下行电平值在所有源小区平均电平值中出现的概率进行平滑连线得到一个概率曲线，以所述概率曲线的波谷为分段点对源小区平均下行电平值进行区间划分，并将源小区平均下行电平区间划分结果发送到采样点小区按电平分类模块；The source cell average downlink level interval division module is used to use the average downlink level of the source cell as the horizontal axis and the probability as the vertical axis to use the moving average algorithm to calculate the average downlink level of each source cell sent by the level occurrence probability calculation module. The probability that the average value appears in the average level value of all source cells is smoothed and connected to obtain a probability curve, and the trough of the probability curve is used as a segment point to divide the average downlink level value of the source cell into intervals, and the source cell The average downlink level interval division result is sent to the level classification module of the sampling point cell;

采样点小区按电平分类模块用于根据源小区平均下行电平区间划分模块发送来的源小区的区间划分结果和所采集并选取的各个采样点小区对应的源小区平均下行电平将各个采样点小区划分到不同的源小区平均下行电平区间中，从而得到各个采样点小区的分类信息，所述各个采样点小区的分类信息为各个采样点小区的源小区平均下行电平区间分类信息，并将得到的采样点小区的源小区平均下行电平区间分类信息发送给采样点小区分类信息处理单元；The sampling point cell classification module is used to classify each sample according to the interval division result of the source cell sent by the source cell average downlink level interval division module and the collected and selected source cell average downlink level corresponding to each sampling point cell. Point cells are divided into different source cell average downlink level intervals, thereby obtaining the classification information of each sampling point cell, the classification information of each sampling point cell is the source cell average downlink level interval classification information of each sampling point cell, and sending the obtained source cell average downlink level interval classification information of the sampling point cell to the sampling point cell classification information processing unit;

采样点数目均值计算模块用于接收数据采集单元发送来的确定源小区覆盖范围所需的原始数据，所述确定源小区覆盖范围所需的原始数据包括：源小区对各个采样点小区的弱干扰区间的采样点数目、源小区对各个采样点小区的临界干扰区间的采样点数目和源小区对各个采样点小区的强干扰区间的采样点数目，对所采集并选取的源小区对各个采样点小区的三个干扰区间的采样点数目分别进行均值计算，得到相应干扰区间的平均采样点数目，将得到的源小区对各个采样点小区的三个干扰区间的平均采样点数目发送到采样点小区按采样点数目分类模块；The sampling point number average calculation module is used to receive the original data required for determining the coverage of the source cell sent by the data acquisition unit, and the original data required for determining the coverage of the source cell includes: the weak interference of the source cell to each sampling point cell The number of sampling points in the interval, the number of sampling points in the critical interference interval of the source cell to each sampling point cell, and the number of sampling points in the strong interference interval of the source cell to each sampling point cell, for the collected and selected source cell to each sampling point Calculate the mean value of the number of sampling points in the three interference intervals of the cell to obtain the average number of sampling points in the corresponding interference interval, and send the obtained average number of sampling points in the three interference intervals of the source cell to each sampling point cell to the sampling point cell Classify modules according to the number of sampling points;

采样点小区按采样点数目分类模块用于根据源小区对各个采样点小区的三个干扰区间中的采样点数目和采样点数目均值计算模块发送来的相应干扰区间的平均采样点数目之间的大小关系对各个采样点小区进行分类，得到各个采样点小区的分类信息，所述各个采样点小区的分类信息为各个采样点小区的采样点数目分类信息，并将得到的各个采样点小区的采样点数目分类信息发送给采样点小区分类信息处理单元。The sampling point cell is classified according to the number of sampling points, and the module is used to calculate the average number of sampling points in the corresponding interference interval sent by the source cell to the three interference intervals of each sampling point cell and the average number of sampling points. The size relationship classifies each sampling point sub-district to obtain the classification information of each sampling point sub-district, the classification information of each sampling point sub-district is the sampling point number classification information of each sampling point sub-district, and the sampling of each sampling point sub-district obtained The point number classification information is sent to the sampling point cell classification information processing unit.

所述采样点小区分类信息处理单元为显示小区分布图的地理信息系统GIS平台。The cell classification information processing unit of the sampling point is a geographic information system (GIS) platform that displays a distribution map of the cells.

由上述的技术方案可见，本发明基于移动终端实测数据，利用源小区的平均下行电平、源小区对采样点小区的三个干扰区间的采样点数目或以上二者的结合，能够实时准确地确定源小区的覆盖范围，并可以通过比较根据从OMC系统中采集并选取的不同时间段的原始数据得到的多个源小区覆盖范围来判断源小区的覆盖范围偏差，有助于运营商及时有效地发现源小区的覆盖范围误差，从而更好地进行网络维护和优化工作。It can be seen from the above technical solution that the present invention is based on the measured data of the mobile terminal, using the average downlink level of the source cell, the number of sampling points in the three interference intervals between the source cell and the sampling point cell, or a combination of the above two, to accurately and in real time Determine the coverage of the source cell, and judge the coverage deviation of the source cell by comparing the coverage of multiple source cells obtained from the original data collected and selected from the OMC system in different time periods, which is helpful for operators in a timely and effective manner The coverage error of the source cell can be found accurately, so that network maintenance and optimization can be performed better.

附图说明Description of drawings

图1为本发明中所述确定小区覆盖范围方法的流程图；Fig. 1 is the flowchart of the method for determining cell coverage described in the present invention;

图2为本发明方法实施例1中根据各个采样点小区中的源小区平均下行电平对采样点小区进行分类的流程图；Fig. 2 is a flowchart of classifying sampling point cells according to the average downlink level of source cells in each sampling point cell inEmbodiment 1 of the method of the present invention;

图3为本发明方法实施例1中用移动平均算法得到的概率曲线图；Fig. 3 is the probability graph that obtains with moving average algorithm in themethod embodiment 1 of the present invention;

图4为本发明方法实施例1中得到的源小区覆盖范围图；FIG. 4 is a source cell coverage diagram obtained inEmbodiment 1 of the method of the present invention;

图5为本发明方法实施例2中根据源小区对各个采样点小区的三个干扰区间中的采样点数目对采样点小区进行分类的方法流程图；5 is a flowchart of a method for classifying sampling point cells according to the number of sampling points in the three interference intervals of each sampling point cell by the source cell inEmbodiment 2 of the method of the present invention;

图6为本发明方法实施例2中得到的源小区覆盖范围图；FIG. 6 is a source cell coverage diagram obtained inEmbodiment 2 of the method of the present invention;

图7为本发明方法实施例3中根据源小区平均下行电平和源小区对各个采样点小区的三个干扰区间中的采样点数目对采样点小区进行分类并得到源小区的覆盖范围的方法流程图；Fig. 7 is a method flow for classifying the sampling point cells and obtaining the coverage of the source cell according to the average downlink level of the source cell and the number of sampling points in the three interference intervals of the source cell to each sampling point cell in the third embodiment of the method of the present invention picture;

图8为本发明方法实施例3中得到的源小区的覆盖范围图；FIG. 8 is a coverage diagram of a source cell obtained inEmbodiment 3 of the method of the present invention;

图9为本发明中所述确定小区覆盖范围的装置结构示意图；FIG. 9 is a schematic structural diagram of a device for determining cell coverage in the present invention;

图10为本发明中确定小区覆盖范围的装置的第一实施例的结构示意图；FIG. 10 is a schematic structural diagram of a first embodiment of a device for determining cell coverage in the present invention;

图11为本发明中确定小区覆盖范围的装置的第二实施例的结构示意图；FIG. 11 is a schematic structural diagram of a second embodiment of a device for determining cell coverage in the present invention;

图12为本发明中确定小区覆盖范围的装置的第三实施例的结构示意图。Fig. 12 is a schematic structural diagram of a third embodiment of an apparatus for determining cell coverage in the present invention.

具体实施方式Detailed ways

为使本发明的目的、技术方案、及优点更加清楚明白，以下参照附图并举实施例，对本发明进一步详细说明。In order to make the object, technical solution, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

本发明的主要思想为：从操作和维护中心(OMC)系统中采集并选取确定源小区覆盖范围所需的原始数据，根据所采集的原始数据对各个采样点小区进行分类，对各个采样点小区的分类信息进行处理得到源小区的覆盖范围，还可以通过比较不同时间段得到的源小区的覆盖范围来判断源小区的覆盖误差。The main idea of the present invention is: collect and select the original data needed to determine the coverage of the source cell from the operation and maintenance center (OMC) system, classify each sampling point cell according to the collected original data, and classify each sampling point cell The classification information of the source cell is processed to obtain the coverage of the source cell, and the coverage error of the source cell can also be judged by comparing the coverage of the source cell obtained in different time periods.

图1为本发明中所述确定小区覆盖范围方法的流程图。如图1所示，本发明所述方法主要包括以下步骤：Fig. 1 is a flow chart of the method for determining cell coverage in the present invention. As shown in Figure 1, the method of the present invention mainly comprises the following steps:

步骤A、从OMC系统中采集并选取确定源小区覆盖范围所需的原始数据。Step A, collect and select the original data required to determine the coverage of the source cell from the OMC system.

在移动通信网络，比如全球移动通信系统(GSM，Global System forMobile Communications)网络中，由于各种移动通信业务的需要或网络侧的需求(比如，小区重选)，各小区中的移动终端(例如，手机)每隔一段时间(比如，580毫秒)都会将其当前所在位置(即采样点)的一些测量数据(例如，服务小区标识(Serving Sector ID)、服务小区下行电平、各个干扰小区标识(Interfering Sector ID)、各个干扰小区下行电平等)上传给该移动通信网络的网络侧，在本发明的实施例中，可将上传测量数据的移动终端称为采样点。网络侧，例如基站控制器(BSC)可根据各采样点上传的测量数据计算得到各采样点的服务小区和多个干扰小区之间的载干比。其中，所述服务小区与干扰小区的载干比为：采样点所在的服务小区的下行电平与某个干扰小区的下行电平的比值。网络侧的OMC系统每隔一段时间(比如1小时)将同一服务小区中多个采样点上传的某个干扰小区的多个下行电平进行均值计算，从而得到该干扰小区相对于该服务小区的平均下行电平；例如，以服务小区A和该服务小区A的某一个干扰小区B为例，如果在某个时间段内，服务小区A中有x个采样点上传了该干扰小区B的下行电平，从而在网络侧得到x个该干扰小区B的下行电平，则OMC系统将对上述x个下行电平取平均值，从而得到该干扰小区B相对于该服务小区A的平均下行电平。In a mobile communication network, such as a Global System for Mobile Communications (GSM, Global System for Mobile Communications) network, due to the needs of various mobile communication services or the requirements of the network side (for example, cell reselection), mobile terminals in each cell (such as , mobile phone) at regular intervals (for example, 580 milliseconds) will send some measurement data (for example, Serving Sector ID, Serving Sector ID, Serving Sector ID, each interfering cell ID) of its current location (ie sampling point) (Interfering Sector ID), each interfering cell downlink level, etc.) are uploaded to the network side of the mobile communication network. In the embodiments of the present invention, the mobile terminal that uploads the measurement data can be called a sampling point. On the network side, for example, a base station controller (BSC) can calculate the carrier-to-interference ratio between the serving cell and multiple interfering cells at each sampling point according to the measurement data uploaded by each sampling point. Wherein, the carrier-to-interference ratio between the serving cell and the interfering cell is: the ratio of the downlink level of the serving cell where the sampling point is located to the downlink level of an interfering cell. The OMC system on the network side calculates the average value of multiple downlink levels of an interfering cell uploaded by multiple sampling points in the same serving cell at regular intervals (for example, 1 hour), so as to obtain the average value of the interfering cell relative to the serving cell Average downlink level; for example, taking serving cell A and an interfering cell B of the serving cell A as an example, if within a certain period of time, x sampling points in the serving cell A upload the downlink data of the interfering cell B In order to obtain x downlink levels of the interfering cell B on the network side, the OMC system will average the above x downlink levels to obtain the average downlink level of the interfering cell B relative to the serving cell A .

另外，OMC系统还将根据上述BSC计算得到各服务小区和干扰小区之间的载干比进行进一步的处理。仍然以上述服务小区A和该服务小区A的干扰小区B为例对所述的处理进行说明，由于服务小区A中的x个采样点在上传干扰小区B的下行电平的同时也上传了服务小区A的下行电平，因此通过BSC的计算可得到x个服务小区A与干扰小区B的载干比；将上述x个载干比取倒数后可得到x个载干比倒数；然后将上述x个载干比倒数按照数值的大小分别划分到(-∞，-12dB]、(-12dB，0dB)和[0dB，∞)三个区间中，并分别统计各个区间中的载干比倒数的数目，由于上述的每个载干比倒数均对应于一个采样点，所以各个区间中的载干比倒数的数目也就相当于各个区间中的采样点数目。在OMC系统中，上述三个区间分别用Class1、Class2和Class3来表示。In addition, the OMC system will calculate and obtain the carrier-to-interference ratio between each serving cell and the interfering cell according to the above-mentioned BSC for further processing. Still taking the serving cell A and the interfering cell B of the serving cell A as examples to illustrate the processing, since the x sampling points in the serving cell A upload the downlink level of the interfering cell B and also upload the service The downlink level of cell A, therefore, the carrier-to-interference ratio of x serving cell A and interfering cell B can be obtained through BSC calculation; the x carrier-to-interference ratio can be obtained by taking the reciprocal of the above-mentioned x carrier-to-interference ratio; then the above-mentioned The x carrier-to-interference ratio reciprocals are divided into (-∞, -12dB], (-12dB, 0dB) and [0dB, ∞) three intervals according to the size of the value, and the reciprocal carrier-to-interference ratios in each interval are counted Since each reciprocal of the carrier-to-interference ratio described above corresponds to one sampling point, the number of reciprocals of the carrier-to-interference ratio in each interval is equivalent to the number of sampling points in each interval. In the OMC system, the above three intervals are represented by Class1, Class2 and Class3 respectively.

移动通信系统(比如GSM)中规定，小区的同频干扰保护比是9dB，在工程实际中一般要再加3dB，就是12dB，也就是说只有载干比大于或等于12dB时，干扰小区的下行电平才不会引起服务小区中的同频干扰，该服务小区才能进行正常的移动通信业务。而对上述载干比取倒数后，则载干比倒数小于或等于-12dB时才不会引起上述的同频干扰，因此如果某个载干比倒数被划分到区间Class1＝(-∞，-12dB]中，则表示该载干比倒数所对应的干扰小区的下行电平不会引起该载干比倒数所对应的服务小区中的同频干扰，所以可将区间Class1称之为该干扰小区对服务小区的弱干扰区间；如果上述载干比倒数大于或等于0dB，即该载干比倒数被划分到区间Class3＝[0dB，∞)中，则表示该干扰小区的下行电平不低于该服务小区的下行电平，所以可将区间Class3称之为该干扰小区对该服务小区的强干扰区间；如果上述载干比倒数在-12dB和0dB之间，即该载干比倒数被划分到区间Class2＝(-12dB，0dB)中，则表示该干扰小区的下行电平低于该服务小区的下行电平，但还是会引起服务小区的同频干扰，所以可将区间Class2称之为该干扰小区对该服务小区的临界干扰区间。The mobile communication system (such as GSM) stipulates that the same-frequency interference protection ratio of the cell is 9dB. In engineering practice, it is generally necessary to add 3dB, which is 12dB. Level will not cause co-channel interference in the serving cell, and the serving cell can carry out normal mobile communication services. After taking the reciprocal of the above-mentioned carrier-to-interference ratio, the above-mentioned same-channel interference will not be caused when the reciprocal of the carrier-to-interference ratio is less than or equal to -12dB. Therefore, if a certain reciprocal of the carrier-to-interference ratio is divided into the interval Class1=(-∞,- 12dB], it means that the downlink level of the interfering cell corresponding to the reciprocal of the carrier-to-interference ratio will not cause co-channel interference in the serving cell corresponding to the reciprocal of the carrier-to-interference ratio, so the interval Class1 can be called the interfering cell Weak interference interval for the serving cell; if the reciprocal of the carrier-to-interference ratio is greater than or equal to 0dB, that is, the reciprocal of the carrier-to-interference ratio is divided into the interval Class3=[0dB, ∞), it means that the downlink level of the interfering cell is not lower than The downlink level of the serving cell, so the interval Class3 can be called the strong interference interval of the interfering cell to the serving cell; if the above-mentioned reciprocal of the carrier-to-interference ratio is between -12dB and 0dB, that is, the reciprocal of the carrier-to-interference ratio is divided In the interval Class2=(-12dB, 0dB), it means that the downlink level of the interfering cell is lower than the downlink level of the serving cell, but it will still cause co-channel interference in the serving cell, so the interval Class2 can be called The critical interference interval of the interfering cell to the serving cell.

上述得到的所述干扰小区平均下行电平和三个干扰区间中的采样点数目与相应的服务小区标识和干扰小区标识一起以例如记录的形式存储在所述OMC系统中，因此OMC中的每条记录中均包括：某服务小区标识、该服务小区的某个干扰小区的标识、该干扰小区对应于该服务小区的平均下行电平(简称为该干扰小区的平均下行电平，下同)和该干扰小区对该服务小区的三个干扰区间中的采样点数目。The above-mentioned average downlink level of the interfering cell and the number of sampling points in the three interference intervals are stored in the OMC system together with the corresponding serving cell ID and interfering cell ID in the form of records, so each item in the OMC The records all include: the identity of a serving cell, the identity of an interfering cell of the serving cell, the average downlink level of the interfering cell corresponding to the serving cell (abbreviated as the average downlink level of the interfering cell, the same below) and The number of sampling points in the three interference intervals of the interfering cell to the serving cell.

同时，所述OMC系统中还以例如记录的形式存储着该移动通信系统覆盖的所述区域中各个小区的配置信息，例如各个小区标识、各个小区基站的经纬度和天线方位角等。At the same time, the OMC system also stores the configuration information of each cell in the area covered by the mobile communication system in the form of records, such as each cell ID, the latitude and longitude of each cell base station, and the antenna azimuth angle.

在本发明的实施例中，为了叙述的方便，可将所需确定覆盖范围的小区称为源小区，将源小区以外的采样点所在的小区称为采样点小区。In the embodiments of the present invention, for the convenience of description, the cell whose coverage needs to be determined may be called the source cell, and the cell where the sampling point other than the source cell is located is called the sampling point cell.

因此，在本步骤中，可从上述的OMC系统中采集一段时间内(比如一天之中忙时)所需分析区域的所有数据，并从中选取确定源小区覆盖范围所需的原始数据(简称为原始数据，下同)，即可从上述的OMC系统中采集的所有数据中选取干扰小区标识为源小区标识的多条记录中的干扰小区(即源小区)的平均下行电平和干扰小区对服务小区(即采样点小区)的三个干扰区间的采样点数目；如果上述所选取的原始数据中存在多条服务小区标识相同的记录，则需要将所述服务小区标识相同的多条记录进行合并，即将所述服务小区标识相同的多条记录中的干扰小区(即源小区)的多个平均下行电平进行均值计算并以得到的均值作为所述干扰小区(即源小区)的平均下行电平，将所述服务小区标识相同的记录中的干扰小区对服务小区的多个弱干扰区间的采样点数目相加并以得到的总和作为所述干扰小区对服务小区的弱干扰区间的采样点数目、将所述服务小区标识相同的记录中的干扰小区对服务小区的多个临界干扰区间的采样点数目相加并以得到的总和作为所述干扰小区对服务小区的临界干扰区间的采样点数目，和将所述服务小区标识相同的记录中的干扰小区对服务小区的多个强干扰区间的采样点数目相加并以得到的总和作为所述干扰小区对服务小区的强干扰区间的采样点数目，并根据源小区标识以及所述多个采样点小区标识从所述OMC系统中查询得到源小区和所述多个采样点小区的配置信息(比如，源小区基站的经纬度和方位角、所述多个采样点基站的经纬度和方位角等)，Therefore, in this step, all the data of the required analysis area can be collected from the above-mentioned OMC system for a period of time (such as a busy time in a day), and the original data required for determining the coverage of the source cell (abbreviated as Original data, the same below), that is, the average downlink level of the interfering cell (i.e. the source cell) and the effect of the interfering cell on the serving The number of sampling points in the three interference intervals of the cell (that is, the sampling point cell); if there are multiple records with the same serving cell ID in the above selected raw data, you need to merge the multiple records with the same serving cell ID That is to calculate the average value of multiple average downlink levels of the interfering cell (ie, the source cell) in multiple records with the same serving cell identifier, and use the obtained average value as the average downlink level of the interfering cell (ie, the source cell) Ping, add the number of sampling points of multiple weak interference intervals between the interfering cell and the serving cell in the records with the same serving cell identity, and use the obtained sum as the number of sampling points for the weak interference interval between the interfering cell and the serving cell Purpose: Add the number of sampling points of multiple critical interference intervals of the interfering cell to the serving cell in the record with the same serving cell identifier, and use the obtained sum as the number of sampling points of the critical interference interval of the interfering cell to the serving cell The purpose is to add the number of sampling points of multiple strong interference intervals of the interfering cell to the serving cell in the record with the same identity of the serving cell, and use the obtained sum as the sampling of the strong interference interval of the interfering cell to the serving cell point number, and according to the source cell identifier and the plurality of sampling point cell identifiers, query the configuration information of the source cell and the plurality of sampling point cells from the OMC system (for example, the latitude and longitude and azimuth angle of the base station of the source cell, The longitude, latitude and azimuth of the plurality of sampling point base stations, etc.),

在本发明的实施例中，所述从OMC系统中采集并选取的确定源小区的覆盖范围所需的原始数据可以包括：源小区标识(例如，源小区的名称)、源小区平均下行电平、源小区基站的经纬度、源小区基站天线方位角、各个采样点小区标识(例如，各个采样点小区的名称)、各个采样点基站的经纬度、各个采样点基站天线方位角、源小区对各个采样点小区的弱干扰区间的采样点数目、源小区对各个采样点小区的临界干扰区间的采样点数目和源小区对各个采样点小区的强干扰区间的采样点数目。In an embodiment of the present invention, the raw data collected and selected from the OMC system to determine the coverage of the source cell may include: the source cell identifier (for example, the name of the source cell), the average downlink level of the source cell , the latitude and longitude of the base station of the source cell, the azimuth angle of the base station antenna of the source cell, the cell identification of each sampling point (for example, the name of each sampling point cell), the latitude and longitude of the base station of each sampling point, the azimuth angle of the base station antenna of each sampling point, the source cell The number of sampling points in the weak interference interval of the point cell, the number of sampling points in the critical interference interval of the source cell to each sampling point cell, and the number of sampling points in the strong interference interval of the source cell to each sampling point cell.

由于在所需分析的区域中的采样点的总数量一般都较大，且采样点的分布也比较符合实际的应用环境(例如，人员密集区域的采样点的数量较多，而人员稀疏区域的采样点的数量较少等)，同时，各采样点所上传的测量数据也是实时的测量数据，因此，上述从OMC系统中所采集并选取的原始数据可以较好地反应所需分析的区域中各个位置的信号电平分布情况。Since the total number of sampling points in the area to be analyzed is generally large, and the distribution of sampling points is more in line with the actual application environment (for example, the number of sampling points in densely populated areas is large, while the number of sampling points in sparsely populated areas The number of sampling points is small, etc.), and at the same time, the measurement data uploaded by each sampling point is also real-time measurement data. Therefore, the above-mentioned original data collected and selected from the OMC system can better reflect the area to be analyzed Signal level distribution at various locations.

为了能够排除上述所采集并选取的原始数据中可能存在的解码错误，还可以进一步对所采集并选取的原始数据进行预处理，所述预处理可以为去异常预处理，例如，去除上述所采集并选取的原始数据中的空值或乱码数据。In order to eliminate possible decoding errors in the above-mentioned collected and selected raw data, the collected and selected raw data can be further pre-processed, and the pre-processing can be abnormal pre-processing, for example, removing the above-mentioned collected And select the null value or garbled data in the original data.

步骤B、根据所采集并选取的确定源小区覆盖范围所需的原始数据对各个采样点小区进行分类，得到各个采样点小区的分类信息，并根据所述各个采样点小区的分类信息得到源小区的覆盖范围。Step B. Classify each sampling point cell according to the collected and selected raw data required to determine the coverage of the source cell, obtain the classification information of each sampling point cell, and obtain the source cell according to the classification information of each sampling point cell coverage.

在本步骤中，可根据所采集并选取的确定源小区覆盖范围所需的原始数据中的一个或多个原始数据对采样点小区进行分类并得到各个采样点小区的分类信息，并根据所述各个采样点小区的分类信息得到源小区的覆盖范围。In this step, the sampling point cells can be classified according to one or more raw data in the collected and selected raw data required to determine the coverage of the source cell and the classification information of each sampling point cell can be obtained, and according to the The classification information of each sampling point cell obtains the coverage area of the source cell.

在本发明中，可使用多种分类处理方法对采样点小区进行分类并得到各个采样点小区的分类信息。例如，可根据源小区平均下行电平对采样点小区进行分类，得到各个采样点小区的分类信息；或者，可根据源小区对各个采样点小区的三个干扰区间中的采样点数目对采样点小区进行分类，得到各个采样点小区的分类信息。为了更好地对本发明的技术方案进行描述，下面将结合具体实施例分别介绍上述各种分类处理方法。In the present invention, various classification processing methods can be used to classify the sampling point plots and obtain the classification information of each sampling point plot. For example, the sampling point cells can be classified according to the average downlink level of the source cell to obtain the classification information of each sampling point cell; The sub-districts are classified to obtain the classification information of each sampling point sub-district. In order to better describe the technical solutions of the present invention, the above various classification processing methods will be respectively introduced below in conjunction with specific embodiments.

实施例1：根据源小区平均下行电平对采样点小区进行分类，得到各个采样点小区的分类信息，并根据所述各个采样点小区的分类信息得到源小区的覆盖范围。Embodiment 1: Classify the sampling point cells according to the average downlink level of the source cell, obtain the classification information of each sampling point cell, and obtain the coverage of the source cell according to the classification information of each sampling point cell.

本实施例中，可根据所采集并选取到的源小区平均下行电平对采样点小区进行分类，例如将源小区平均下行电平值划分成几个电平区间，并根据采集到的各个采样点小区所对应的源小区平均下行电平确定各采样点小区所在的电平区间，即将各个采样点小区划分到不同类的电平区间中，从而得到各个采样点小区的分类信息(可称之为源小区平均下行电平区间分类信息)，然后可根据各个采样点小区的源小区平均下行电平区间分类信息得到源小区的覆盖范围。In this embodiment, the sampling point cells can be classified according to the collected and selected average downlink level of the source cell, for example, the average downlink level value of the source cell is divided into several level intervals, and according to the collected The average downlink level of the source cell corresponding to the point cell determines the level interval of each sampling point cell, that is, each sampling point cell is divided into different types of level intervals, so as to obtain the classification information of each sampling point cell (which can be called is the interval classification information of the average downlink level of the source cell), and then the coverage of the source cell can be obtained according to the interval classification information of the average downlink level of the source cell of each sampling point cell.

在移动通信系统中，比如，在GSM网络中，干扰小区(即源小区)平均下行电平值的范围一般为-47dBm～-110dBm；在本实施例中，可以有多种方法来对所采集并选取的原始数据中的源小区平均下行电平进行分类，即电平区间划分，并可根据需要将上述源小区平均下行电平值范围划分成等长或不等长的多个电平区间。为了叙述的简便，在以下的具体实施例中，将以一种具体的源小区平均下行电平值区间划分方法为例，对本实施例进行详细的介绍。In a mobile communication system, for example, in a GSM network, the range of the average downlink level value of the interfering cell (i.e. the source cell) is generally -47dBm～-110dBm; And select the average downlink level of the source cell in the original data to classify, that is, divide the level interval, and divide the above-mentioned range of the average downlink level value of the source cell into multiple level intervals of equal or unequal length as required . For simplicity of description, in the following specific embodiments, a specific method for dividing an average downlink level value interval of a source cell will be taken as an example to introduce this embodiment in detail.

参见图2，图2为本发明方法实施例1中根据源小区平均下行电平对采样点小区进行分类并得到源小区的覆盖范围的方法流程图，主要包括以下步骤：Referring to Fig. 2, Fig. 2 is the flow chart of the method for classifying the sampling point cell and obtaining the coverage of the source cell according to the average downlink level of the source cell inEmbodiment 1 of the method of the present invention, mainly including the following steps:

步骤B1、统计所采集并选取的确定源小区覆盖范围所需的原始数据中每个源小区平均下行电平值出现的次数，并计算每个源小区平均下行电平值在所有源小区平均电平值中出现的概率。Step B1, count the number of occurrences of the average downlink level value of each source cell in the original data collected and selected to determine the coverage of the source cell, and calculate the average downlink level value of each source cell in the average level of all source cells Probability of occurrence in average.

由于在所采集并选取的原始数据中包括多个源小区平均下行电平值，所以统计所采集的原始数据中某个源小区平均下行电平值出现的次数，即统计有哪几个采样点小区所对应的源小区平均下行电平值等于该源小区平均下行电平值，同样地，计算某个源小区平均下行电平值在所有源小区平均电平值中出现的概率，即计算该源小区平均下行电平值对应的采样点小区的个数占所有采样点小区个数的比率。Since the collected and selected raw data includes the average downlink level values of multiple source cells, the number of occurrences of the average downlink level value of a certain source cell in the collected raw data is counted, that is, which sampling points are counted The average downlink level value of the source cell corresponding to the cell is equal to the average downlink level value of the source cell. The ratio of the number of cells at the sampling point corresponding to the average downlink level value of the source cell to the number of cells at all sampling points.

可根据上述的方法，逐个确定每个源小区平均下行电平值出现的次数，并计算每个源小区平均下行电平值在所有源小区平均电平值中出现的概率。According to the above method, the number of occurrences of the average downlink level value of each source cell can be determined one by one, and the probability that the average downlink level value of each source cell appears in the average level values of all source cells can be calculated.

步骤B2、以源小区平均下行电平值为横轴，以概率为纵轴，并用移动平均算法对每个源小区平均下行电平值在所有源小区平均电平值中出现的概率进行平滑连线得到一个概率曲线，以所述概率曲线的波谷为分段点对源小区平均下行电平值进行区间划分。Step B2, take the average downlink level value of the source cell as the horizontal axis, and take the probability as the vertical axis, and use the moving average algorithm to smooth and connect the probability that the average downlink level value of each source cell appears in the average level value of all source cells line to obtain a probability curve, and use the trough of the probability curve as a segmentation point to divide the average downlink level value of the source cell into intervals.

图3为本发明方法实施例1中用移动平均算法得到的概率曲线图，如图3所示，可以以该概率曲线的波谷为分段点，将上述概率曲线划分成多个区间。例如，可划分为A、B、C、D、E等5个源小区平均下行电平区间(可简称为电平区间)，其中，电平区间A为[-47dBm，-54dBm)，电平区间B为[-54dBm，-70dBm)，电平区间C为[-70dBm，-82dBm]，电平区间D为(-82dBm，-98dBm]，电平区间E为(-98dBm，-110dBm]。Fig. 3 is the probability curve diagram that obtains with moving average algorithm in themethod embodiment 1 of the present invention, as shown in Fig. 3, can take the trough of this probability curve as segmentation point, above-mentioned probability curve is divided into a plurality of intervals. For example, it can be divided into 5 average downlink level intervals of source cells (A, B, C, D, E, etc.) (which can be referred to as level intervals for short), where the level interval A is [-47dBm, -54dBm), and the level Range B is [-54dBm, -70dBm), level range C is [-70dBm, -82dBm], level range D is (-82dBm, -98dBm], level range E is (-98dBm, -110dBm].

以概率曲线的波谷为分段点，可使得每个源小区平均下行电平区间的概率曲线近似呈正态分布，即在每个源小区平均下行电平区间中，每个源小区平均下行电平值出现的概率近似服从正态分布，这也符合在每个采样点小区中，获得源小区平均下行电平的实际情况。Taking the trough of the probability curve as the segmentation point, the probability curve of the average downlink level interval of each source cell can be approximately normally distributed, that is, in the average downlink level interval of each source cell, the average downlink level of each source cell The probability of the average value approximately obeys the normal distribution, which is also in line with the actual situation of obtaining the average downlink level of the source cell in each sampling point cell.

上述电平区间的分段点也可以选概率曲线的波峰或其他值，或随意选定分段点以及划分区间的个数，在此不再赘述。The division points of the above-mentioned level intervals can also be selected from the peak or other values of the probability curve, or the division points and the number of divided intervals can be selected arbitrarily, which will not be repeated here.

步骤B3、根据所采集并选取的的各个采样点小区对应的源小区平均下行电平将各个采样点小区划分到不同的源小区平均下行电平区间中，从而得到各个采样点小区的源小区平均下行电平区间分类信息。Step B3. According to the collected and selected average downlink level of the source cell corresponding to each sampling point cell, each sampling point cell is divided into different source cell average downlink level intervals, thereby obtaining the source cell average downlink level of each sampling point cell. Downlink level interval classification information.

在本步骤中，可根据所采集并选取的各个采样点小区对应的源小区平均下行电平，将各个采样点小区划分到步骤B1确定的相应的源小区平均下行电平区间中，从而得到各个采样点小区的源小区平均下行电平区间分类信息，即各个采样点小区所对应的源小区平均下行电平所在的电平区间。例如，如果某个采样点小区所对应的源小区平均下行电平的值为-50dBm，则该源小区平均下行电平位于电平区间A中，因此该采样点小区的分类信息为A；如果某个采样点小区所对应的源小区平均下行电平的值为-100dBm，则该源小区平均下行电平位于电平区间E中，因此该采样点小区的分类信息为E；依此类推，可得到所有采样点小区的分类信息。In this step, according to the collected and selected average downlink level of the source cell corresponding to each sampling point cell, each sampling point cell can be divided into the corresponding source cell average downlink level interval determined in step B1, thereby obtaining each The classification information of the average downlink level interval of the source cell of the sampling point cell, that is, the level interval in which the average downlink level of the source cell corresponding to each sampling point cell is located. For example, if the value of the average downlink level of the source cell corresponding to a cell at a sampling point is -50dBm, the average downlink level of the source cell is in the level interval A, so the classification information of the cell at the sampling point is A; if The value of the average downlink level of the source cell corresponding to a certain sampling point cell is -100dBm, then the average downlink level of the source cell is in the level interval E, so the classification information of the sample point cell is E; and so on, The classification information of all sampling point cells can be obtained.

步骤B4、根据各个采样点小区的源小区平均下行电平区间分类信息得到源小区的覆盖范围。Step B4. Obtain the coverage of the source cell according to the interval classification information of the source cell average downlink level of each sampling point cell.

工程技术人员可以利用多种手段来根据步骤B3中得到的采样点小区的源小区平均下行电平区间分类信息来得到源小区的覆盖范围，比如使用特定的计算机程序处理各个采样点的源小区平均下行电平区间分类信息来得到源小区的覆盖范围或者在小区分布图上加入各个采样点小区的源小区平均下行电平区间分类信息以得到源小区的覆盖范围图。下面以在小区分布图上加入各个采样点小区的源小区平均下行电平区间分类信息来得到源小区的覆盖范围图为例来对本实施例进行详细介绍。Engineers and technicians can use a variety of means to obtain the coverage of the source cell according to the classification information of the source cell average downlink level interval of the sampling point cell obtained in step B3, such as using a specific computer program to process the source cell average level of each sampling point. The downlink level interval classification information is used to obtain the coverage of the source cell, or the source cell average downlink level interval classification information of each sampling point cell is added to the cell distribution map to obtain the source cell coverage map. The following describes this embodiment in detail by adding the average downlink level interval classification information of the source cell of each sampling point cell to the cell distribution map to obtain the coverage map of the source cell as an example.

在本实施例中，可以在地理信息系统(GIS)或其它可以显示小区分布信息的系统上利用从OMC系统中采集的源小区基站的经纬度、源小区基站天线方位角、各个采样点基站的经纬度、各个采样点基站天线方位角等小区的配置信息显示小区分布图，关于如何在系统上显示小区分布图为现有技术，这里不再赘述。将上述各个采样点小区的源小区平均下行电平区间分类信息加入到所述小区分布图中，就可得到源小区覆盖范围图，In this embodiment, the latitude and longitude of the base station of the source cell, the azimuth angle of the antenna of the base station of the source cell, and the latitude and longitude of the base station of each sampling point collected from the OMC system can be used on the geographic information system (GIS) or other systems that can display cell distribution information. The configuration information of the cell such as the base station antenna azimuth angle of each sampling point displays the cell distribution map, how to display the cell distribution map on the system is a prior art, and will not be repeated here. Add the source cell average downlink level interval classification information of each sampling point cell to the cell distribution map to obtain the source cell coverage map,

参见图4，图4为本发明方法实施例1中得到的源小区覆盖范围图。以图4所示为例，根据各个采样点小区的分类信息可知，与源小区共用基站1的其他两个采样点小区处于源小区平均下行电平区间A中；基站2唯一的一个采样点小区处于源小区平均下行电平区间A中；基站3的一个采样点小区处于源小区平均下行电平区间B中，另外两个采样点小区处于源小区平均下行电平区间C中；基站4的一个采样点小区处于源小区平均下行电平区间D中，另外两个采样点小区处于源小区平均下行电平区间E中；基站5的一个采样点小区处于源小区平均下行电平区间D中，另外两个采样点小区处于源小区平均下行电平区间E中；基站6的一个采样点小区处于源小区平均下行电平区间D中，另外两个采样点小区处于源小区平均下行电平区间E中；基站7唯一的一个采样点小区处于源小区平均下行电平区间C中；基站8唯一的一个采样点小区处于源小区平均下行电平区间A中。Referring to FIG. 4, FIG. 4 is a coverage diagram of a source cell obtained inEmbodiment 1 of the method of the present invention. Taking Figure 4 as an example, according to the classification information of each sampling point cell, it can be known that the other two sampling point cells sharing base station 1 with the source cell are in the average downlink level interval A of the source cell; the only sampling point cell of base station 2 It is in the average downlink level interval A of the source cell; one sampling point cell of base station 3 is in the average downlink level interval B of the source cell, and the other two sampling point cells are in the average downlink level interval C of the source cell; one of the base station 4 The sampling point cell is in the average downlink level interval D of the source cell, and the other two sampling point cells are in the source cell average downlink level interval E; one sampling point cell of the base station 5 is in the source cell average downlink level interval D, and Two sampling point cells are in the average downlink level interval E of the source cell; one sampling point cell of base station 6 is in the source cell average downlink level interval D, and the other two sampling point cells are in the source cell average downlink level interval E The only sampling point cell of base station 7 is in the average downlink level interval C of the source cell; the only sampling point cell of base station 8 is in the average downlink level interval A of the source cell.

从图4中可以看出，与源小区的基站1相距较远的基站7唯一的一个采样点小区和基站8唯一的一个采样点小区接收到的源小区的下行电平出现了异常，导致出现上述异常的原因可能是相关基站的配置参数，比如天线方位角或经纬度出现了偏差，也可能是天气等实际环境因素，比如大风，造成天线高度、方位角或俯仰角等发生改变，这样工程技术人员就可以根据上述源小区覆盖范围图中显示的情况，检查相关基站和小区的设置。It can be seen from Figure 4 that the downlink level of the source cell received by the only sampling point cell of base station 7 and the only sampling point cell of base station 8, which is far away frombase station 1 of the source cell, is abnormal, resulting in The reason for the above abnormalities may be the configuration parameters of the relevant base stations, such as the deviation of the antenna azimuth or latitude and longitude, or the actual environmental factors such as weather, such as strong winds, which cause changes in the antenna height, azimuth or pitch angle. The personnel can check the settings of the relevant base stations and cells according to the situation shown in the above-mentioned source cell coverage diagram.

另外，还可以根据上述的方法从OMC系统中采集并选取不同时间段的原始数据，根据所述原始数据得到多个源小区覆盖范围，并比较所得到的多个源小区覆盖范围，以判断源小区的覆盖误差。如果通过比较发现某个采样点小区所在的源小区平均下行电平区间发生了变化，则工程技术人员就可以检查源小区或发生变化的采样点小区的设置，有助于运营商及时有效地发现源小区的覆盖范围误差，从而更好地进行网络维护和优化工作。In addition, it is also possible to collect and select raw data of different time periods from the OMC system according to the above method, obtain multiple source cell coverages according to the original data, and compare the obtained multiple source cell coverages to determine the source Cell coverage error. If it is found that the average downlink level range of the source cell where a certain sampling point cell is located has changed through comparison, engineers and technicians can check the settings of the source cell or the changed sampling point cell, which will help operators to find out in a timely and effective manner Coverage error of the source cell, so as to perform better network maintenance and optimization.

实施例2：根据源小区对各个采样点小区的三个干扰区间中的采样点数目对采样点小区进行分类，得到各个采样点小区的分类信息，根据各个采样点小区的分类信息得到源小区的覆盖范围。Embodiment 2: Classify the sampling point cells according to the number of sampling points in the three interference intervals of each sampling point cell by the source cell, obtain the classification information of each sampling point cell, and obtain the source cell according to the classification information of each sampling point cell coverage.

在本实施例中，可对所采集并选取的原始数据中的源小区对各个采样点小区的三个干扰区间的采样点数目分别进行均值计算得到相应干扰区间的平均采样点数目，根据源小区对各个采样点小区的三个干扰区间中的采样点数目和相应干扰区间的平均采样点数目之间的大小关系对各个采样点小区进行分类，得到各个采样点小区的分类信息(可称之为采样点数目分类信息)；然后再根据各个采样点小区的采样点数目分类信息得到源小区的覆盖范围。In this embodiment, the average number of sampling points in the three interference intervals of the source cell in the collected and selected raw data can be calculated separately to obtain the average number of sampling points in the corresponding interference interval, according to the source cell Each sampling point sub-district is classified according to the size relationship between the number of sampling points in the three interference intervals of each sampling point sub-district and the average sampling point number in the corresponding interference interval, and the classification information of each sampling point sub-district (which can be referred to as classification information of the number of sampling points); and then obtain the coverage of the source cell according to the classification information of the number of sampling points of each sampling point sub-district.

参见图5，图5为本发明方法实施例2中根据源小区对各个采样点小区的三个干扰区间中的采样点数目对采样点小区进行分类并得到源小区的覆盖范围的方法流程图，该方法具体包括以下步骤：Referring to FIG. 5, FIG. 5 is a flowchart of a method for classifying the sampling point cells and obtaining the coverage of the source cell according to the number of sampling points in the three interference intervals of each sampling point cell by the source cell in themethod embodiment 2 of the present invention, The method specifically includes the following steps:

步骤B11、对所采集并选取的源小区对各个采样点小区的三个干扰区间的采样点数目分别进行均值计算，得到相应干扰区间的平均采样点数目。Step B11, performing mean calculation on the number of sampling points in the three interference intervals of the collected and selected source cells for each sampling point cell, to obtain the average number of sampling points in the corresponding interference interval.

在本步骤中，可以使用多种常用的均值计算方法来进行上述的均值计算，例如，可将采集到的源小区对所有采样点小区的一个干扰区间(比如，弱干扰区间)中的所有采样点数目进行累加后，再除以采样点小区的个数，从而得到该干扰区间的平均采样点数目。In this step, a variety of commonly used mean value calculation methods can be used to perform the above mean value calculation. For example, all samples in an interference interval (for example, a weak interference interval) of all sampling point cells can be collected from the source cell. After the number of points is accumulated, it is divided by the number of sampling point cells to obtain the average number of sampling points in the interference interval.

可根据上述的方法，逐个确定每个干扰区间的平均采样点数目。Class1区间(即，弱干扰区间)的平均采样点数目用Avg1表示，Class2区间(即，临界干扰区间)的平均采样点数目用Avg2表示，Class3区间(即，强干扰区间)的平均采样点数目用Avg3表示。The average number of sampling points in each interference interval can be determined one by one according to the above method. The average number of sampling points in the Class1 interval (that is, the weak interference interval) is represented by Avg1, the average number of sampling points in the Class2 interval (that is, the critical interference interval) is represented by Avg2, and the average number of sampling points in the Class3 interval (that is, the strong interference interval) Expressed in Avg3.

步骤B12、根据源小区对各个采样点小区的三个干扰区间中的采样点数目和相应干扰区间的平均采样点数目之间的大小关系对各个采样点小区进行分类，得到各个采样点小区的采样点数目分类信息。Step B12, classify each sampling point cell according to the size relationship between the number of sampling points in the three interference intervals of each sampling point cell and the average sampling point number in the corresponding interference interval by the source cell, and obtain the sampling points of each sampling point cell Point number classification information.

在本步骤中，可将采集到的源小区对各个采样点小区的三个干扰区间(强干扰区、临界干扰区和弱干扰区)中的采样点数目分别与相应干扰区间的平均采样点数目进行比较，并根据比较的情况得到各个采样点小区的采样点数目分类信息。其中，采样点小区的干扰区间中的采样点数目大于或等于相应干扰区间的平均采样点数目的情况可标记为大，采样点小区的干扰区间中的采样点数目小于相应干扰区间的平均采样点数目的情况可标记为小。根据各个采样点小区的三个干扰区间的标记组合将各个采样点小区分为8类，具体如表1所示，In this step, the number of sampling points in the three interference intervals (strong interference area, critical interference area and weak interference area) of the collected source cell to each sampling point cell can be compared with the average number of sampling points in the corresponding interference interval The comparison is carried out, and the classification information of the number of sampling points of each sampling point cell is obtained according to the comparison. Among them, the number of sampling points in the interference interval of the sampling point cell is greater than or equal to the average number of sampling points in the corresponding interference interval can be marked as large, and the number of sampling points in the interference interval of the sampling point cell is less than the average number of sampling points in the corresponding interference interval Cases can be marked as small. According to the mark combinations of the three interference intervals of each sampling point cell, each sampling point cell is divided into 8 categories, as shown in Table 1,

  分类信息 Classified information  弱干扰区Weak interference area  临界干扰区Critical interference zone  强干扰区Strong interference area  干扰级别Interference level  第1类Class 1  大 big  大 big  大 big  强干扰Strong interference  第2类Class 2  大 big  大 big  小 Small  临界干扰Critical interference  第3类Class 3  大 big  小 Small  大 big  强干扰Strong interference  第4类Class 4  大 big  小 Small  小 Small  弱干扰weak interference  第5类Class 5  小 Small  大 big  大 big  强干扰Strong interference  第6类Class 6  小 Small  大 big  小 Small  临界干扰Critical interference  第7类Class 7  小 Small  小 Small  大 big  强干扰Strong interference  第8类Class 8  小 Small  小 Small  小 Small  弱干扰weak interference

表1Table 1

从表1中可以看出，如果某个采样点小区的三个干扰区间中的采样点数目均大于相应干扰区间的平均采样点数目，则该采样点小区的分类信息为1，即该采样点小区属于表1中所列的第1类情况；如果某个采样点小区的弱干扰区和临界干扰区中的采样点数目分别大于弱干扰区和临界干扰区的平均采样点数目，但该采样点小区的强干扰区中的采样点数目小于强干扰区间的平均采样点数目，则该采样点小区的分类信息为2，即该采样点小区属于表1中所列的第2类情况；依此类推，可得到所有采样点小区的分类信息。It can be seen from Table 1 that if the number of sampling points in the three interference intervals of a certain sampling point cell is greater than the average number of sampling points in the corresponding interference interval, the classification information of the sampling point cell is 1, that is, the sampling point The cell belongs to the first category listed in Table 1; if the number of sampling points in the weak interference area and critical interference area of a certain sampling point cell is greater than the average number of sampling points in the weak interference area and critical interference area, but the sampling point If the number of sampling points in the strong interference area of the point cell is less than the average number of sampling points in the strong interference interval, the classification information of the sampling point cell is 2, that is, the sampling point cell belongs to the second category listed in Table 1; By analogy, the classification information of all sampling point cells can be obtained.

其中，表1中的强干扰区标记为大的情况表示源小区对该类采样点小区的强干扰区的采样点数目要大于强干扰区的平均采样点数目，即源小区对该类采样点小区造成强干扰，即第1、3、5、7类采样点小区；临界干扰区标记为大的情况表示源小区对该类采样点小区的临界干扰区的采样点数目要大于临界干扰区的平均采样点数目，即源小区对该类采样点小区造成临界干扰，即第2、6类采样点小区；其余类则表示源小区对该类采样点小区造成弱干扰，不影响该类采样点小区的正常通信，即第4、8类采样点小区。Among them, the strong interference area in Table 1 is marked as large, indicating that the number of sampling points in the strong interference area of the source cell to this type of sampling point cell is greater than the average number of sampling points in the strong interference area, that is, the number of sampling points in the source cell to this type of sampling point The cell causes strong interference, that is, the 1st, 3rd, 5th, and 7th type of sampling point cell; the case where the critical interference area is marked as large means that the source cell has more sampling points in the critical interference area of this type of sampling point cell than the critical interference area The average number of sampling points, that is, the source cell causes critical interference to this type of sampling point cell, that is, the second and sixth types of sampling point cells; the other types indicate that the source cell causes weak interference to this type of sampling point cell, and does not affect this type of sampling point The normal communication of the cell, that is, the 4th and 8th type of sampling point cells.

步骤B13、根据各个采样点小区的采样点数目分类信息得到源小区的覆盖范围。Step B13, obtaining the coverage of the source cell according to the classification information of the number of sampling points of each sampling point cell.

工程技术人员可以利用多种手段来根据步骤B12中得到的各个采样点小区的采样点数目分类信息来得到源小区的覆盖范围，比如用特定的计算机程序处理各个采样点小区的采样点数目分类信息来得到源小区的覆盖范围或者在小区分布图上加入各个采样点小区的采样点数目分类信息以得到源小区的覆盖范围图。下面以在小区分布图上加入各个采样点小区的采样点数目分类信息来得到源小区的覆盖范围图为例来对本实施例进行详细介绍。Engineers and technicians can use a variety of means to obtain the coverage of the source cell according to the classification information of the number of sampling points of each sampling point cell obtained in step B12, such as using a specific computer program to process the classification information of the number of sampling points of each sampling point cell The coverage area of the source cell is obtained or the classification information of the number of sampling points of each sampling point cell is added to the cell distribution map to obtain the coverage area map of the source cell. The following describes this embodiment in detail by adding the classification information of the number of sampling points of each sampling point cell to the cell distribution map to obtain the coverage map of the source cell as an example.

在本实施例中，可以在地理信息系统(GIS)或其它可以显示小区分布信息的系统上利用从OMC系统中采集的源小区基站的经纬度、源小区基站天线方位角、各个采样点基站的经纬度、各个采样点基站天线方位角等小区的配置信息显示小区分布图，关于如何在系统上显示小区分布图为现有技术，这里不再赘述。将上述各个采样点小区的采样点数目分类信息加入到所述小区分布图中，就可得到源小区覆盖范围图。In this embodiment, the latitude and longitude of the base station of the source cell, the azimuth angle of the antenna of the base station of the source cell, and the latitude and longitude of the base station of each sampling point collected from the OMC system can be used on the geographic information system (GIS) or other systems that can display cell distribution information. The configuration information of the cell such as the base station antenna azimuth angle of each sampling point displays the cell distribution map, how to display the cell distribution map on the system is a prior art, and will not be repeated here. The source cell coverage map can be obtained by adding the classification information of the number of sampling points of each sampling point cell to the cell distribution map.

参见图6，图6为本发明方法实施例2中得到的源小区覆盖范围图。以图6所示为例，在图6中用双星号“**”来表示源小区对该类采样点小区造成强干扰的一类采样点小区，而用单星号“*”来表示源小区对该类采样点小区造成临界干扰的一类采样点小区，源小区对该类采样点小区造成弱干扰的一类采样点小区则无需特别标注。如图6所示，根据各个采样点小区的分类信息可知，与源小区共用基站1的其他两个采样点小区属于上述第2类采样点小区，源小区对该类采样点小区造成临界干扰；基站2唯一的一个采样点小区属于上述第1类采样点小区，源小区对该类采样点小区造成强干扰；基站3的一个采样点小区属于上述第3类采样点小区，源小区对该类采样点小区造成强干扰，另一个采样点小区属于第6类采样点小区，源小区对该类采样点小区造成临界干扰，第三个采样点小区属于第4类采样点小区，源小区对该类采样点小区造成弱干扰；基站4的一个采样点小区属于上述第3类采样点小区，源小区对该类采样点小区造成强干扰，另两个采样点小区都属于第4类采样点小区，源小区对该类采样点小区造成弱干扰；基站5的两个采样点小区属于第6类采样点小区，源小区对该类采样点小区造成临界干扰，另一个采样点小区属于第4类采样点小区，源小区对该类采样点小区造成弱干扰；基站6的一个采样点小区属于第3类采样点小区，源小区对该类采样点小区造成强干扰，另一个采样点小区属于第6类采样点小区，源小区对该类采样点小区造成临界干扰，第三个采样点小区属于第4类采样点小区，源小区对该类采样点小区造成弱干扰；基站7唯一的一个采样点小区属于第1类采样点小区，源小区对该类采样点小区造成强干扰；基站8唯一的一个采样点小区属于第2类采样点小区，源小区对该类采样点小区造成临界干扰。Referring to FIG. 6, FIG. 6 is a coverage diagram of a source cell obtained inEmbodiment 2 of the method of the present invention. Taking the example shown in Figure 6, in Figure 6, double asterisks "**" are used to indicate a type of sampling point cell that the source cell causes strong interference to this type of sampling point cell, and a single asterisk "*" is used to indicate the source cell. A type of sampling point cell in which the cell causes critical interference to this type of sampling point cell, and a type of sampling point cell in which the source cell causes weak interference to this type of sampling point cell does not need to be specially marked. As shown in Figure 6, according to the classification information of each sampling point cell, it can be known that the other two sampling point cells sharingbase station 1 with the source cell belong to the above-mentioned second type of sampling point cell, and the source cell causes critical interference to this type of sampling point cell; The only sampling point cell ofbase station 2 belongs to the above-mentionedtype 1 sampling point cell, and the source cell causes strong interference to this type of sampling point cell; a sampling point cell ofbase station 3 belongs to the above-mentionedtype 3 sampling point cell, and the source cell causes strong interference to this type of sampling point cell. The sampling point cell causes strong interference, the other sampling point cell belongs to the sixth type of sampling point cell, the source cell causes critical interference to this type of sampling point cell, the third sampling point cell belongs to the fourth type of sampling point cell, the source cell A sampling point cell of base station 4 belongs to the above-mentioned type 3 sampling point cell, the source cell causes strong interference to this type of sampling point cell, and the other two sampling point cells belong to the fourth type of sampling point cell , the source cell causes weak interference to this type of sampling point cell; the two sampling point cells of base station 5 belong to the sixth type of sampling point cell, the source cell causes critical interference to this type of sampling point cell, and the other sampling point cell belongs to the fourth type The sampling point cell, the source cell causes weak interference to this type of sampling point cell; one sampling point cell of base station 6 belongs to the third type of sampling point cell, the source cell causes strong interference to this type of sampling point cell, and the other sampling point cell belongs to the third type of sampling point cell 6 types of sampling point cells, the source cell causes critical interference to this type of sampling point cell, the third sampling point cell belongs to the fourth type of sampling point cell, the source cell causes weak interference to this type of sampling point cell; the only sampling point of base station 7 The point cell belongs to the first type of sampling point cell, and the source cell causes strong interference to this type of sampling point cell; the only sampling point cell of base station 8 belongs to the second type of sampling point cell, and the source cell causes critical interference to this type of sampling point cell.

从图6中可以看出，源小区造成强干扰的采样点小区集中在基站2、3、4、6和7的采样点小区中，其中与源小区的基站1相距较远的基站7唯一的一个采样点小区属于第1类采样点小区，表示源小区对该类采样点小区造成强干扰，需要重点关注，参见表1，可以发现源小区对该采样点小区的三个干扰区间的采样点数目都大于相应干扰区间的平均采样点数目，这说明该采样点小区的配置出现了异常，导致出现上述异常的原因可能是相关基站的配置参数，比如天线方位角或经纬度出现了偏差，也可能是天气等实际环境因素，比如大风，造成天线高度、方位角或俯仰角等发生改变，这样工程技术人员就可以根据所述小区分布图中显示的情况，检查相关基站和小区的设置。It can be seen from Figure 6 that the sampling point cells that cause strong interference from the source cell are concentrated in the sampling point cells ofbase stations 2, 3, 4, 6, and 7, among which base station 7, which is far away frombase station 1 of the source cell, is the only one A sampling point cell belongs to the first type of sampling point cell, which means that the source cell causes strong interference to this type of sampling point cell and needs to be paid attention to. See Table 1, you can find the number of sampling points in the three interference intervals of the source cell to the sampling point cell The number of sampling points is greater than the average number of sampling points in the corresponding interference interval, which indicates that there is an abnormality in the configuration of the cell at the sampling point. It is weather and other actual environmental factors, such as strong winds, which cause changes in antenna height, azimuth or pitch angle, etc., so that engineering and technical personnel can check the settings of related base stations and cells according to the conditions shown in the cell distribution map.

另外，还可以根据上述的方法从OMC系统中采集并选取不同时间段的原始数据，根据所述原始数据得到多个源小区覆盖范围，并比较所得到的多个源小区覆盖范围，以判断源小区的覆盖误差。如果通过比较发现某个采样点小区所属的类别发生了变化，则工程技术人员就可以检查源小区或发生变化的采样点小区的设置，有助于运营商及时有效地发现源小区的覆盖范围误差，从而更好地进行网络维护和优化工作。In addition, it is also possible to collect and select raw data of different time periods from the OMC system according to the above method, obtain multiple source cell coverages according to the original data, and compare the obtained multiple source cell coverages to determine the source Cell coverage error. If it is found that the category of a certain sampling point cell has changed through comparison, engineers and technicians can check the settings of the source cell or the changed sampling point cell, which will help operators to find the coverage error of the source cell in a timely and effective manner , so as to better carry out network maintenance and optimization.

实施例3：根据源小区平均下行电平和源小区对各个采样点小区的三个干扰区间中的采样点数目对采样点小区进行分类，得到各个采样点小区的分类信息，根据各个采样点小区的分类信息得到源小区的覆盖范围。Embodiment 3: According to the average downlink level of the source cell and the number of sampling points in the three interference intervals of the source cell to each sampling point cell, the sampling point cells are classified, and the classification information of each sampling point cell is obtained. The classification information obtains the coverage area of the source cell.

本实施例中，可根据所采集并选取到的源小区平均下行电平对采样点小区进行分类，例如将源小区平均下行电平值划分成几个电平区间，并根据采集到的各个采样点小区所对应的源小区平均下行电平确定各采样点小区所在的电平区间，即将各个采样点小区划分到不同类的电平区间中，从而得到各个采样点小区的分类信息(可称之为源小区平均下行电平区间分类信息)；并且，可对所采集并选取的原始数据中的源小区对各个采样点小区的三个干扰区间的采样点数目分别进行均值计算得到相应干扰区间的平均采样点数目，根据源小区对各个采样点小区的三个干扰区间中的采样点数目和相应干扰区间的平均采样点数目之间的大小关系对各个采样点小区进行分类，得到各个采样点小区的分类信息(可称之为采样点数目分类信息)；然后再根据各个采样点小区的源小区平均下行电平区间分类信息和各个采样点小区的采样点数目分类信息得到源小区的覆盖范围。In this embodiment, the sampling point cells can be classified according to the collected and selected average downlink level of the source cell, for example, the average downlink level value of the source cell is divided into several level intervals, and according to the collected The average downlink level of the source cell corresponding to the point cell determines the level interval of each sampling point cell, that is, each sampling point cell is divided into different types of level intervals, so as to obtain the classification information of each sampling point cell (which can be called is the average downlink level interval classification information of the source cell); and, the source cell in the collected and selected raw data can perform mean value calculation on the number of sampling points in the three interference intervals of each sampling point cell to obtain the corresponding interference interval The average number of sampling points, according to the size relationship between the number of sampling points in the three interference intervals of each sampling point cell and the average number of sampling points in the corresponding interference interval, classifies each sampling point cell by the source cell, and obtains each sampling point cell The classification information (can be referred to as sampling point number classification information); then according to the source cell average downlink level interval classification information of each sampling point sub-district and the sampling point number classification information of each sampling point sub-district to obtain the coverage of the source cell.

参见图7，图7为本发明方法实施例3中根据源小区平均下行电平和源小区对各个采样点小区的三个干扰区间中的采样点数目对采样点小区进行分类并得到源小区的覆盖范围的方法流程图，该方法具体包括以下步骤：Referring to Fig. 7, Fig. 7 is the classification of the sampling point cells according to the average downlink level of the source cell and the number of sampling points in the three interference intervals of the source cell to each sampling point cell inEmbodiment 3 of the method of the present invention, and obtains the coverage of the source cell A method flow chart of the scope, the method specifically includes the following steps:

本实施例中，步骤B111-B113与实施例1中的步骤B1-B3相同，步骤B114-B115与实施例2中的步骤B11-B12相同，具体步骤可以参见实施例1中的步骤B1-B3和实施例2中的步骤B11-B12，这里就不再赘述。In this embodiment, steps B111-B113 are the same as steps B1-B3 inembodiment 1, and steps B114-B115 are the same as steps B11-B12 inembodiment 2. For specific steps, please refer to steps B1-B3 inembodiment 1 Steps B11-B12 inEmbodiment 2 will not be repeated here.

因为步骤B111-B113和步骤B114-B115分别处理不同的数据，所以可以先用步骤B111-B113得到各个采样点小区的源小区平均下行电平区间分类信息然后再用步骤B114-B115得到各个采样点小区的采样点数目分类信息，也可以先用步骤B114-B115得到各个采样点小区的采样点数目分类信息再用步骤B111-B113得到各个采样点小区的源小区平均下行电平区间分类信息，或者步骤B111-B113和步骤B114-B115同时进行得到各个采样点小区的源小区平均下行电平区间分类信息和各个采样点小区的采样点数目分类信息。Because steps B111-B113 and steps B114-B115 process different data respectively, you can first use steps B111-B113 to obtain the source cell average downlink level interval classification information of each sampling point cell, and then use steps B114-B115 to obtain each sampling point For the classification information of the number of sampling points in the sub-district, you can first use steps B114-B115 to obtain the classification information of the number of sampling points in each sampling point sub-district, and then use steps B111-B113 to obtain the classification information of the source cell average downlink level interval of each sampling point sub-district, or Steps B111-B113 and steps B114-B115 are performed simultaneously to obtain the interval classification information of the source cell average downlink level of each sampling point cell and the classification information of the number of sampling points of each sampling point cell.

步骤B116：根据各个采样点小区的源小区平均下行电平区间分类信息和各个采样点小区的采样点数目分类信息得到源小区的覆盖范围。Step B116: Obtain the coverage of the source cell according to the classification information of the source cell average downlink level interval of each sampling point cell and the sampling point number classification information of each sampling point cell.

工程技术人员可以利用多种手段来根据本实施例中得到的各个采样点小区的源小区平均下行电平区间分类信息和各个采样点小区的采样点数目分类信息来得到源小区的覆盖范围，比如使用特定的计算机程序处理各个采样点小区的源小区平均下行电平区间分类信息和各个采样点小区的采样点数目分类信息来得到源小区的覆盖范围或者在小区分布图上加入各个采样点小区的源小区平均下行电平区间分类信息和各个采样点小区的采样点数目分类信息以得到源小区的覆盖范围图。下面以在小区分布图上加入各个采样点小区的源小区平均下行电平区间分类信息和各个采样点小区的采样点数目分类信息来得到源小区的覆盖范围图为例来对本实施例进行详细介绍。Engineers and technicians can use various means to obtain the coverage of the source cell according to the classification information of the source cell average downlink level interval of each sampling point cell and the classification information of the number of sampling points of each sampling point cell obtained in this embodiment, such as Use a specific computer program to process the source cell average downlink level interval classification information of each sampling point cell and the sampling point number classification information of each sampling point cell to obtain the coverage of the source cell or add each sampling point cell to the cell distribution map The interval classification information of the average downlink level of the source cell and the classification information of the number of sampling points of each sampling point cell are used to obtain the coverage map of the source cell. The following is an example of adding the source cell average downlink level interval classification information of each sampling point cell to the cell distribution map and the sampling point number classification information of each sampling point cell to obtain the coverage map of the source cell as an example to introduce this embodiment in detail .

在本实施例中，可以在地理信息系统(GIS)或其它可以显示小区分布信息的系统上利用从OMC系统中采集的源小区基站的经纬度、源小区基站天线方位角、各个采样点基站的经纬度、各个采样点基站天线方位角等小区的配置信息显示小区分布图，关于如何在系统上显示小区分布图为现有技术，这里不再赘述。将上述各个采样点小区的源小区平均下行电平区间分类信息和各个采样点小区的采样点数目分类信息加入到所述小区分布图中，就可得到源小区覆盖范围图。In this embodiment, the latitude and longitude of the base station of the source cell, the azimuth angle of the antenna of the base station of the source cell, and the latitude and longitude of the base station of each sampling point collected from the OMC system can be used on the geographic information system (GIS) or other systems that can display cell distribution information. The configuration information of the cell such as the base station antenna azimuth angle of each sampling point displays the cell distribution map, how to display the cell distribution map on the system is a prior art, and will not be repeated here. The source cell coverage map can be obtained by adding the source cell average downlink level interval classification information of each sampling point cell and the sampling point number classification information of each sampling point cell to the cell distribution map.

参见图8，图8为本发明方法实施例3中得到的源小区的覆盖范围图。Referring to FIG. 8 , FIG. 8 is a coverage diagram of a source cell obtained inEmbodiment 3 of the method of the present invention.

以图8所示为例，根据各个采样点小区的分类信息可知，与源小区共用基站1的其他两个采样点小区处于源小区平均下行电平区间A中，并且属于上述第2类采样点小区，源小区对该类采样点小区造成临界干扰；基站2唯一的一个采样点小区处于源小区平均下行电平区间A中，并且属于上述第1类采样点小区，源小区对该类采样点小区造成强干扰；基站3的一个采样点小区处于源小区平均下行电平区间B中，并且属于上述第3类采样点小区，源小区对该类采样点小区造成强干扰，另外两个采样点小区处于源小区平均下行电平区间C中，其中一个采样点小区属于第6类采样点小区，源小区对该类采样点小区造成临界干扰，另一个采样点小区属于第4类采样点小区，源小区对该类采样点小区造成弱干扰；基站4的一个采样点小区处于源小区平均下行电平区间D中，并且属于上述第3类采样点小区，源小区对该类采样点小区造成强干扰，另外两个采样点小区处于源小区平均下行电平区间E中，并且都属于第4类采样点小区，源小区对该类采样点小区造成弱干扰；基站5的一个采样点小区处于源小区平均下行电平区间D中，并且属于第6类采样点小区，源小区对该类采样点小区造成临界干扰，另外两个采样点小区处于源小区平均下行电平区间E中，其中一个采样点小区属于第6类采样点小区，源小区对该类采样点小区造成临界干扰，另一个采样点小区属于第4类采样点小区，源小区对该类采样点小区造成弱干扰；基站6的一个采样点小区处于源小区平均下行电平区间D中，并且属于第3类采样点小区，源小区对该类采样点小区造成强干扰，另外两个采样点小区处于源小区平均下行电平区间E中，其中一个采样点小区属于第6类采样点小区，源小区对该类采样点小区造成临界干扰，另一个采样点小区属于第4类采样点小区，源小区对该类采样点小区造成弱干扰；基站7唯一的一个采样点小区处于源小区平均下行电平区间C中，并且属于第1类采样点小区，源小区对该类采样点小区造成强干扰；基站8唯一的一个采样点小区处于源小区平均下行电平区间A中，并且属于第2类采样点小区，源小区对该类采样点小区造成临界干扰。Taking Figure 8 as an example, according to the classification information of each sampling point cell, it can be known that the other two sampling point cells sharing base station 1 with the source cell are in the average downlink level interval A of the source cell, and belong to the above-mentioned second type of sampling point Cell, the source cell causes critical interference to this type of sampling point cell; the only sampling point cell of base station 2 is in the average downlink level interval A of the source cell, and belongs to the above-mentioned type 1 sampling point cell, the source cell has this type of sampling point cell The cell causes strong interference; one sampling point cell of base station 3 is in the average downlink level interval B of the source cell, and belongs to the above-mentioned third type of sampling point cell, the source cell causes strong interference to this type of sampling point cell, and the other two sampling points The cell is in the average downlink level interval C of the source cell, one of the sampling point cells belongs to the sixth type of sampling point cell, the source cell causes critical interference to this type of sampling point cell, and the other sampling point cell belongs to the fourth type of sampling point cell, The source cell causes weak interference to this type of sampling point cell; a sampling point cell of base station 4 is in the average downlink level interval D of the source cell, and belongs to the above-mentioned third type of sampling point cell, and the source cell causes strong interference to this type of sampling point cell. The other two sampling point cells are in the average downlink level interval E of the source cell, and both belong to the fourth type of sampling point cells. The source cell causes weak interference to this type of sampling point cells; one sampling point cell of base station 5 is in the source cell The cell is in the average downlink level interval D and belongs to the sixth type of sampling point cell. The source cell causes critical interference to this type of sampling point cell. The other two sampling point cells are in the source cell average downlink level interval E. One of the sampling points The point cell belongs to the sixth type of sampling point cell, and the source cell causes critical interference to this type of sampling point cell, and the other sampling point cell belongs to the fourth type of sampling point cell, and the source cell causes weak interference to this type of sampling point cell; One sampling point cell is in the average downlink level interval D of the source cell, and belongs to the third type of sampling point cell, the source cell causes strong interference to this type of sampling point cell, and the other two sampling point cells are in the source cell average downlink level interval In E, one of the sampling point cells belongs to the sixth type of sampling point cell, and the source cell causes critical interference to this type of sampling point cell, and the other sampling point cell belongs to the fourth type of sampling point cell, and the source cell causes interference to this type of sampling point cell. Weak interference; the only sampling point cell of base station 7 is in the average downlink level interval C of the source cell, and belongs to the first type of sampling point cell, and the source cell causes strong interference to this type of sampling point cell; the only sampling point cell of base station 8 The cell is in the average downlink level interval A of the source cell, and belongs to the second type of sampling point cell, and the source cell causes critical interference to this type of sampling point cell.

从图8中可以看出，与源小区的基站1相距较远的基站7唯一的一个采样点小区和基站8唯一的一个采样点小区都接收到了较高的源小区平均下行电平并且分别属于源小区造成强干扰和临界干扰的采样点小区，需要终端关注，说明所述两个采样点小区的配置出现了异常。导致出现上述异常的原因可能是相关基站的配置参数，比如天线方位角或经纬度出现了偏差，也可能是天气等实际环境因素，比如大风，造成天线高度、方位角或俯仰角等发生改变，这样工程技术人员就可以根据所述小区分布图中显示的情况，检查相关基站和小区的设置。It can be seen from Figure 8 that the only sampling point cell of base station 7 and the only sampling point cell of base station 8, which are far away frombase station 1 of the source cell, both receive a higher average downlink level of the source cell and belong to The sampling point cells that the source cell causes strong interference and critical interference require the terminal to pay attention to, indicating that the configuration of the two sampling point cells is abnormal. The reason for the above abnormality may be the configuration parameters of the relevant base stations, such as the deviation of the antenna azimuth or latitude and longitude, or the actual environmental factors such as weather, such as strong winds, which cause changes in the antenna height, azimuth or pitch angle, etc., so that Engineers and technicians can check the settings of relevant base stations and cells according to the conditions shown in the cell distribution diagram.

另外，还可以根据上述的方法从OMC系统中采集并选取不同时间段的原始数据，根据所述原始数据得到多个源小区覆盖范围，并比较所得到的多个源小区覆盖范围，以判断源小区的覆盖误差。如果通过比较发现某个采样点小区所在的源小区平均下行电平区间或该采样点小区的类别发生了变化，则工程技术人员就可以检查源小区或发生变化的采样点小区的设置，有助于运营商及时有效地发现源小区的覆盖范围误差，从而更好地进行网络维护和优化工作。In addition, it is also possible to collect and select raw data of different time periods from the OMC system according to the above method, obtain multiple source cell coverages according to the original data, and compare the obtained multiple source cell coverages to determine the source Cell coverage error. If it is found by comparison that the average downlink level interval of the source cell where a certain sample point cell is located or the type of the sample point cell has changed, then engineers and technicians can check the settings of the source cell or the changed sample point cell, which will help It is helpful for the operator to timely and effectively discover the coverage error of the source cell, so as to better carry out network maintenance and optimization.

本发明还提供了一种确定小区覆盖范围的装置，如图9所示，图9为本发明中所述确定小区覆盖范围的装置结构示意图。所述确定小区覆盖范围的装置包括：数据采集单元、采样点小区分类单元和采样点小区分类信息处理单元，数据采集单元和采样点小区分类信息处理单元分别连接到采样点小区分类单元。The present invention also provides a device for determining the coverage of a cell, as shown in FIG. 9 , which is a schematic structural diagram of the device for determining the coverage of a cell in the present invention. The device for determining cell coverage includes: a data collection unit, a sampling point cell classification unit, and a sampling point cell classification information processing unit, and the data collection unit and the sampling point cell classification information processing unit are respectively connected to the sampling point cell classification unit.

其中，数据采集单元用于从OMC系统中采集并选取确定源小区覆盖范围所需的原始数据，并将所述原始数据发送到所述采样点小区分类单元；Wherein, the data collection unit is used to collect from the OMC system and select the original data needed to determine the coverage of the source cell, and send the original data to the sampling point cell classification unit;

采样点小区分类单元用于根据数据采集单元发送来的原始数据对各个采样点小区进行分类，得到各个采样点小区的分类信息，并将得到的各个采样点小区分类信息发送给采样点小区分类信息处理设备；The sampling point community classification unit is used to classify each sampling point community according to the original data sent by the data acquisition unit, obtain the classification information of each sampling point community, and send the obtained sampling point community classification information to the sampling point community classification information processing equipment;

采样点小区分类信息处理单元用于根据采样点小区分类单元发送来的各个采样点小区的分类信息得到源小区的覆盖范围。The sampling point cell classification information processing unit is configured to obtain the coverage of the source cell according to the classification information of each sampling point cell sent by the sampling point cell classification unit.

如图10所示，图10为本发明中确定小区覆盖范围的装置的第一实施例的结构示意图。本发明确定小区覆盖范围的装置的第一实施例中，所述采样点小区分类单元包括电平出现概率计算模块、源小区平均下行电平区间划分模块和采样点小区按电平分类模块，电平出现概率计算模块和采样点小区按电平分类模块分别与源小区平均下行电平区间划分模块连接；As shown in FIG. 10 , FIG. 10 is a schematic structural diagram of a first embodiment of an apparatus for determining cell coverage in the present invention. In the first embodiment of the device for determining the coverage of a cell in the present invention, the sampling point cell classification unit includes a level occurrence probability calculation module, a source cell average downlink level interval division module, and a sampling point cell classification module by level. The average occurrence probability calculation module and the sampling point cell classification module are respectively connected with the source cell average downlink level interval division module;

其中，电平出现概率计算模块用于接收数据采集单元发送来的确定源小区覆盖范围所需的原始数据，所述确定源小区覆盖范围所需的原始数据包括：源小区平均下行电平，统计所述原始数据中每个源小区平均下行电平值出现的次数，并计算每个源小区平均下行电平值在所有源小区平均电平值中出现的概率，将计算得到的每个源小区平均下行电平值在所有源小区平均电平值中出现的概率发送到源小区平均下行电平区间划分模块；Wherein, the level occurrence probability calculation module is used to receive the original data required to determine the coverage of the source cell sent by the data acquisition unit, and the original data required to determine the coverage of the source cell includes: the average downlink level of the source cell, statistics The number of occurrences of the average downlink level value of each source cell in the original data, and calculate the probability that the average downlink level value of each source cell appears in the average level value of all source cells, and use the calculated The probability that the average downlink level value appears in all source cell average level values is sent to the source cell average downlink level interval division module;

源小区平均下行电平区间划分模块用于以源小区平均下行电平值为横轴，以概率为纵轴，用移动平均算法将电平出现概率计算模块发送来的每个源小区平均下行电平值在所有源小区平均电平值中出现的概率进行平滑连线得到一个概率曲线，以所述概率曲线的波谷为分段点对源小区平均下行电平值进行区间划分，并将源小区平均下行电平区间划分结果发送到采样点小区按电平分类模块；The source cell average downlink level interval division module is used to use the average downlink level of the source cell as the horizontal axis and the probability as the vertical axis to use the moving average algorithm to calculate the average downlink level of each source cell sent by the level occurrence probability calculation module. The probability that the average value appears in the average level value of all source cells is smoothed and connected to obtain a probability curve, and the trough of the probability curve is used as a segment point to divide the average downlink level value of the source cell into intervals, and the source cell The average downlink level interval division result is sent to the level classification module of the sampling point cell;

采样点小区按电平分类模块用于根据源小区平均下行电平区间划分模块发送来的源小区的区间划分结果和所采集并选取的各个采样点小区对应的源小区平均下行电平将各个采样点小区划分到不同的源小区平均下行电平区间中，从而得到各个采样点小区的分类信息，所述各个采样点小区的分类信息为各个采样点小区的源小区平均下行电平区间分类信息，并将得到的采样点小区的源小区平均下行电平区间分类信息发送给采样点小区分类信息处理单元。The sampling point cell classification module is used to classify each sample according to the interval division result of the source cell sent by the source cell average downlink level interval division module and the collected and selected source cell average downlink level corresponding to each sampling point cell. Point cells are divided into different source cell average downlink level intervals, thereby obtaining the classification information of each sampling point cell, the classification information of each sampling point cell is the source cell average downlink level interval classification information of each sampling point cell, and sending the obtained interval classification information of the source cell average downlink level of the sampling point cell to the sampling point cell classification information processing unit.

如图11所示，图11为本发明中确定小区覆盖范围的装置的第二实施例的结构示意图。本发明确定小区覆盖范围的装置的第二实施例中，所述采样点小区分类单元包括采样点数目均值计算模块和采样点小区按采样点数目分类模块，采样点数目均值计算模块与采样点小区按采样点数目分类模块连接；As shown in FIG. 11 , FIG. 11 is a schematic structural diagram of a second embodiment of an apparatus for determining cell coverage in the present invention. In the second embodiment of the device for determining the coverage of a cell in the present invention, the sampling point cell classification unit includes a sampling point number average calculation module and a sampling point cell classification module according to the sampling point number, a sampling point number average calculation module and a sampling point cell Classify module connections according to the number of sampling points;

其中，采样点数目均值计算模块用于接收数据采集单元发送来的确定源小区覆盖范围所需的原始数据，所述确定源小区覆盖范围所需的原始数据包括：源小区对各个采样点小区的弱干扰区间的采样点数目、源小区对各个采样点小区的临界干扰区间的采样点数目和源小区对各个采样点小区的强干扰区间的采样点数目，对所采集并选取的源小区对各个采样点小区的三个干扰区间的采样点数目分别进行均值计算，得到相应干扰区间的平均采样点数目，将得到的源小区对各个采样点小区的三个干扰区间的平均采样点数目发送到采样点小区按采样点数目分类模块；Wherein, the sampling point number average calculation module is used to receive the original data required for determining the coverage of the source cell sent by the data acquisition unit, the original data required for determining the coverage of the source cell includes: the source cell for each sampling point cell The number of sampling points in the weak interference interval, the number of sampling points in the critical interference interval of the source cell to each sampling point cell, and the number of sampling points in the strong interference interval of the source cell to each sampling point cell, for the collected and selected source cell to each The average number of sampling points in the three interference intervals of the sampling point cell is calculated separately to obtain the average number of sampling points in the corresponding interference interval, and the obtained average sampling point number of the three interference intervals of the source cell to each sampling point cell is sent to the sampling point. Point cell classification module according to the number of sampling points;

采样点小区按采样点数目分类模块用于根据源小区对各个采样点小区的三个干扰区间中的采样点数目和采样点数目均值计算模块发送来的相应干扰区间的平均采样点数目之间的大小关系对各个采样点小区进行分类，得到各个采样点小区的分类信息，所述各个采样点小区的分类信息为各个采样点小区的采样点数目分类信息，并将得到的各个采样点小区的采样点数目分类信息发送给采样点小区分类信息处理单元。The sampling point cell is classified according to the number of sampling points, and the module is used to calculate the average number of sampling points in the corresponding interference interval sent by the source cell to the three interference intervals of each sampling point cell and the average number of sampling points. The size relationship classifies each sampling point sub-district to obtain the classification information of each sampling point sub-district, the classification information of each sampling point sub-district is the sampling point number classification information of each sampling point sub-district, and the sampling of each sampling point sub-district obtained The point number classification information is sent to the sampling point cell classification information processing unit.

如图12所示，图12为本发明中确定小区覆盖范围的装置的第三实施例的结构示意图。本发明确定小区覆盖范围的装置的第三实施例中，所述采样点小区分类单元包括电平出现概率计算模块、源小区平均下行电平区间划分模块、采样点小区按电平分类模块、采样点数目均值计算模块和采样点小区按采样点数目分类模块，电平出现概率计算模块和采样点小区按电平分类模块分别与源小区平均下行电平区间划分模块连接，采样点数目均值计算模块与采样点小区按采样点数目分类模块连接；As shown in FIG. 12 , FIG. 12 is a schematic structural diagram of a third embodiment of an apparatus for determining cell coverage in the present invention. In the third embodiment of the device for determining the coverage of a cell in the present invention, the sampling point cell classification unit includes a level occurrence probability calculation module, a source cell average downlink level interval division module, a sampling point cell classification module by level, a sampling point The point number average calculation module and the sampling point cell classification module according to the sampling point number, the level occurrence probability calculation module and the sampling point cell classification module are respectively connected with the source cell average downlink level interval division module, and the sampling point number average calculation module It is connected with the classification module of the sampling point number according to the number of sampling points;

其中，电平出现概率计算模块用于接收数据采集单元发送来的确定源小区覆盖范围所需的原始数据，所述确定源小区覆盖范围所需的原始数据包括：源小区平均下行电平，统计所述原始数据中每个源小区平均下行电平值出现的次数，并计算每个源小区平均下行电平值在所有源小区平均电平值中出现的概率，将计算得到的每个源小区平均下行电平值在所有源小区平均电平值中出现的概率发送到源小区平均下行电平区间划分模块；Wherein, the level occurrence probability calculation module is used to receive the original data required to determine the coverage of the source cell sent by the data acquisition unit, and the original data required to determine the coverage of the source cell includes: the average downlink level of the source cell, statistics The number of occurrences of the average downlink level value of each source cell in the original data, and calculate the probability that the average downlink level value of each source cell appears in the average level value of all source cells, and use the calculated The probability that the average downlink level value appears in all source cell average level values is sent to the source cell average downlink level interval division module;

源小区平均下行电平区间划分模块用于以源小区平均下行电平值为横轴，以概率为纵轴，用移动平均算法将电平出现概率计算模块发送来的每个源小区平均下行电平值在所有源小区平均电平值中出现的概率进行平滑连线得到一个概率曲线，以所述概率曲线的波谷为分段点对源小区平均下行电平值进行区间划分，并将源小区平均下行电平区间划分结果发送到采样点小区按电平分类模块；The source cell average downlink level interval division module is used to use the average downlink level of the source cell as the horizontal axis and the probability as the vertical axis to use the moving average algorithm to calculate the average downlink level of each source cell sent by the level occurrence probability calculation module. The probability that the average value appears in the average level value of all source cells is smoothed and connected to obtain a probability curve, and the trough of the probability curve is used as a segment point to divide the average downlink level value of the source cell into intervals, and the source cell The average downlink level interval division result is sent to the level classification module of the sampling point cell;

采样点小区按电平分类模块用于根据源小区平均下行电平区间划分模块发送来的源小区的区间划分结果和所采集并选取的各个采样点小区对应的源小区平均下行电平将各个采样点小区划分到不同的源小区平均下行电平区间中，从而得到各个采样点小区的分类信息，所述各个采样点小区的分类信息为各个采样点小区的源小区平均下行电平区间分类信息，并将得到的采样点小区的源小区平均下行电平区间分类信息发送给采样点小区分类信息处理单元；The sampling point cell classification module is used to classify each sample according to the interval division result of the source cell sent by the source cell average downlink level interval division module and the collected and selected source cell average downlink level corresponding to each sampling point cell. Point cells are divided into different source cell average downlink level intervals, thereby obtaining the classification information of each sampling point cell, the classification information of each sampling point cell is the source cell average downlink level interval classification information of each sampling point cell, and sending the obtained source cell average downlink level interval classification information of the sampling point cell to the sampling point cell classification information processing unit;

采样点数目均值计算模块用于接收数据采集单元发送来的确定源小区覆盖范围所需的原始数据，所述确定源小区覆盖范围所需的原始数据包括：源小区对各个采样点小区的弱干扰区间的采样点数目、源小区对各个采样点小区的临界干扰区间的采样点数目和源小区对各个采样点小区的强干扰区间的采样点数目，对所采集并选取的源小区对各个采样点小区的三个干扰区间的采样点数目分别进行均值计算，得到相应干扰区间的平均采样点数目，将得到的源小区对各个采样点小区的三个干扰区间的平均采样点数目发送到采样点小区按采样点数目分类模块；The sampling point number average calculation module is used to receive the original data required for determining the coverage of the source cell sent by the data acquisition unit, and the original data required for determining the coverage of the source cell includes: the weak interference of the source cell to each sampling point cell The number of sampling points in the interval, the number of sampling points in the critical interference interval of the source cell to each sampling point cell, and the number of sampling points in the strong interference interval of the source cell to each sampling point cell, for the collected and selected source cell to each sampling point Calculate the mean value of the number of sampling points in the three interference intervals of the cell to obtain the average number of sampling points in the corresponding interference interval, and send the obtained average number of sampling points in the three interference intervals of the source cell to each sampling point cell to the sampling point cell Classify modules according to the number of sampling points;

采样点小区按采样点数目分类模块用于根据源小区对各个采样点小区的三个干扰区间中的采样点数目和采样点数目均值计算模块发送来的相应干扰区间的平均采样点数目之间的大小关系对各个采样点小区进行分类，得到各个采样点小区的分类信息，所述各个采样点小区的分类信息为各个采样点小区的采样点数目分类信息，并将得到的各个采样点小区的采样点数目分类信息发送给采样点小区分类信息处理单元。The sampling point cell is classified according to the number of sampling points, and the module is used to calculate the average number of sampling points in the corresponding interference interval sent by the source cell to the three interference intervals of each sampling point cell and the average number of sampling points. The size relationship classifies each sampling point sub-district to obtain the classification information of each sampling point sub-district, the classification information of each sampling point sub-district is the sampling point number classification information of each sampling point sub-district, and the sampling of each sampling point sub-district obtained The point number classification information is sent to the sampling point cell classification information processing unit.

另外，由于电平出现概率计算模块、源小区平均下行电平区间划分模块和采样点小区按电平分类模块以及采样点数目均值计算模块和采样点小区按采样点数目分类模块这两组模块分别处理不同的数据，所以这二组模块的执行顺序可以任意设置，可以同时执行，也可以先后执行。In addition, because the level occurrence probability calculation module, the source cell average downlink level interval division module, the sampling point cell classification module according to the level, the sampling point number average calculation module and the sampling point cell classification module according to the sampling point number, these two groups of modules are respectively Different data are processed, so the execution order of these two groups of modules can be set arbitrarily, and can be executed simultaneously or sequentially.

本发明方法基于移动终端实测数据确定源小区覆盖范围，不需要专用工具去专门测量，而且全面考虑了可能影响到确定源小区覆盖范围的多种因素比如采样点数目、源小区平均下行电平和源小区与采样点小区间距离等，使得到的源小区覆盖范围比较符合实际的应用环境，并可以通过比较根据从OMC系统中采集并选取的不同时间段的原始数据得到的多个源小区覆盖范围来判断源小区的覆盖范围偏差，有助于运营商及时有效地发现源小区的覆盖范围误差，从而更好地进行网络维护和优化工作。The method of the present invention determines the coverage of the source cell based on the measured data of the mobile terminal, does not require special tools for special measurement, and fully considers various factors that may affect the determination of the coverage of the source cell, such as the number of sampling points, the average downlink level of the source cell, and the source cell. The distance between the cell and the sampling point cell, etc., makes the coverage of the source cell more in line with the actual application environment, and can be obtained by comparing the coverage of multiple source cells based on the original data collected and selected from the OMC system in different time periods To judge the coverage deviation of the source cell, it is helpful for the operator to find the coverage error of the source cell in a timely and effective manner, so as to better perform network maintenance and optimization.

以上所述，仅为本发明较佳的具体实施方式，但本发明的保护范围并不局限于此，任何熟悉该技术的人在本发明所揭露的技术范围内，可轻易想到的变化或替换，都应涵盖在本发明的保护范围之内。The above is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person familiar with the technology can easily think of changes or replacements within the technical scope disclosed in the present invention. , should be covered within the protection scope of the present invention.

Claims (14)

1. A method for determining cell coverage, the method comprising:

step A, collecting and selecting original data required by determining a source cell coverage area from an operation and maintenance center OMC system;

b, classifying each sampling point cell according to the collected and selected original data required for determining the coverage area of the source cell to obtain classification information of each sampling point cell; and obtaining the coverage range of the source cell according to the classification information of each sampling point cell.

2. The method of claim 1, wherein the raw data required for determining the source cell coverage comprises: the average downlink level of the source cell; the classification information of each sampling point cell is the classification information of the source cell average downlink level interval of each sampling point cell; the step B comprises the following steps:

step B1, counting the occurrence frequency of each source cell average downlink level value in the collected and selected original data required for determining the source cell coverage area, and calculating the occurrence probability of each source cell average downlink level value in all source cell average level values;

step B2, taking the average downlink level value of the source cell as a horizontal axis and the probability as a vertical axis, smoothly connecting the probability of the average downlink level value of each source cell in the average level values of all the source cells by using a moving average algorithm to obtain a probability curve, and performing interval division on the average downlink level value of the source cells by using the trough of the probability curve as a segmentation point;

step B3, dividing each sampling point cell into different source cell average downlink level intervals according to the source cell average downlink level corresponding to each sampling point cell collected and selected, thereby obtaining source cell average downlink level interval classification information of each sampling point cell;

and step B4, obtaining the coverage area of the source cell according to the source cell average downlink level interval classification information of each sampling point cell.

3. The method of claim 1, wherein the raw data required for determining the source cell coverage comprises: the number of sampling points of a weak interference interval of each sampling point cell by a source cell, the number of sampling points of a critical interference interval of each sampling point cell by the source cell and the number of sampling points of a strong interference interval of each sampling point cell by the source cell; the classification information of each sampling point cell is the classification information of the number of sampling points of each sampling point cell;

the step B comprises the following steps:

step B11, respectively carrying out mean value calculation on the number of sampling points of the collected and selected source cell to three interference intervals of each sampling point cell to obtain the average number of the sampling points of the corresponding interference intervals;

step B12, classifying each sampling point cell according to the magnitude relation between the number of sampling points in three interference intervals of each sampling point cell by the source cell and the average number of sampling points in the corresponding interference interval, and obtaining the number classification information of the sampling points of each sampling point cell;

and step B13, obtaining the coverage area of the source cell according to the sampling point number classification information of each sampling point cell.

4. The method according to claim 3, wherein the classifying the sample cells in step B12 to obtain the sample number classification information of each sample cell comprises:

comparing the number of the sampling points in the three interference intervals of the source cell to each sampling point cell with the average number of the sampling points in the corresponding interference interval obtained in the step B11, and obtaining the classification information of the number of the sampling points of each sampling point cell according to the comparison condition;

the condition that the number of sampling points in the interference interval of the sampling point cell is larger than or equal to the average number of the sampling points in the corresponding interference interval is marked as large, the condition that the number of the sampling points in the interference interval of the sampling point cell is smaller than the average number of the sampling points in the corresponding interference interval is marked as small, and each sampling point cell is divided into 8 types according to the mark combination of three interference intervals of each sampling point cell.

5. The method of claim 4, wherein the class 8 sample point cells comprise:

class 1: the weak interference area is marked as large, the critical interference area is marked as large, and the strong interference area is marked as large;

class 2: the weak interference area is marked as large, the critical interference area is marked as large, and the strong interference area is marked as small;

class 3: the weak interference area is marked as large, the critical interference area is marked as small, and the strong interference area is marked as large;

class 4: the weak interference area is marked as large, the critical interference area is marked as small, and the strong interference area is marked as small;

class 5: the weak interference area is marked as small, the critical interference area is marked as large, and the strong interference area is marked as large;

class 6: the weak interference area is marked as small, the critical interference area is marked as large, and the strong interference area is marked as small;

class 7: the weak interference area is marked as small, the critical interference area is marked as small, and the strong interference area is marked as large;

class 8: the weak interference zone is marked as small, the critical interference zone is marked as small, and the strong interference zone is marked as small.

6. The method of claim 1, wherein the raw data required for determining the source cell coverage comprises: the method comprises the following steps that the average downlink level of a source cell, the number of sampling points of a weak interference interval of the source cell to each sampling point cell, the number of sampling points of a critical interference interval of the source cell to each sampling point cell and the number of sampling points of a strong interference interval of the source cell to each sampling point cell are determined; the classification information of each sampling point cell comprises the source cell average downlink level interval classification information of each sampling point cell and the sampling point number classification information of each sampling point cell;

the step B comprises the following steps:

step B111, counting the occurrence frequency of the average downlink level value of each source cell in the collected and selected original data required for determining the coverage area of the source cell, and calculating the occurrence probability of the average downlink level value of each source cell in the average level values of all the source cells;

step B112, taking the average downlink level value of the source cell as a horizontal axis, taking the probability as a vertical axis, smoothly connecting the probabilities of the average downlink level value of each source cell in the average level values of all the source cells by using a moving average algorithm to obtain a probability curve, and performing interval division on the average downlink level value of the source cell by using a trough of the probability curve as a segmentation point;

step B113, dividing each sampling point cell into different source cell average downlink level intervals according to the source cell average downlink level corresponding to each sampling point cell which is collected and selected, thereby obtaining source cell average downlink level interval classification information of each sampling point cell;

step B114, respectively carrying out average value calculation on the number of sampling points of the collected and selected source cell in three interference intervals of each sampling point cell to obtain the average number of the sampling points in the corresponding interference intervals;

step B115, classifying each sampling point cell according to the magnitude relation between the number of sampling points in three interference intervals of each sampling point cell and the average number of sampling points in the corresponding interference interval by the source cell to obtain the number classification information of the sampling points of each sampling point cell;

step B116: and obtaining the coverage area of the source cell according to the source cell average downlink level interval classification information of each sampling point cell and the sampling point number classification information of each sampling point cell.

7. The method according to any one of claims 1 to 6, wherein the step B of obtaining the coverage of the source cell according to the classification information of the cells of the respective sampling points comprises:

and adding the classification information of each sampling point cell into a system for displaying a cell distribution diagram to obtain a coverage area diagram of the source cell.

8. The method of claim 7, wherein the system is a Geographic Information System (GIS).

9. The method of claim 1, further comprising:

and B, acquiring and selecting original data of different time periods from the OMC system according to the method in the step A and the step B, obtaining the coverage areas of a plurality of source cells according to the original data, and comparing the obtained coverage areas of the plurality of source cells to judge the coverage error of the source cell.

10. An apparatus for determining cell coverage, the apparatus comprising: the system comprises a data acquisition unit, a sampling point cell classification unit and a sampling point cell classification information processing unit, wherein the data acquisition unit and the sampling point cell classification information processing unit are respectively connected to the sampling point cell classification unit; wherein,

the data acquisition unit is used for acquiring and selecting original data required by determining the coverage area of a source cell from an operation and maintenance center OMC system and sending the original data to the sampling point cell classification unit;

the sampling point cell classification unit is used for classifying each sampling point cell according to the original data sent by the data acquisition unit to obtain the classification information of each sampling point cell and sending the obtained classification information of each sampling point cell to the sampling point cell classification information processing equipment;

and the sampling point cell classification information processing unit is used for obtaining the coverage range of the source cell according to the classification information of each sampling point cell sent by the sampling point cell classification unit.

11. The apparatus of claim 10, wherein the sampling point cell classifying unit comprises a level occurrence probability calculating module, a source cell average downlink level interval dividing module and a sampling point cell level classifying module, and the level occurrence probability calculating module and the sampling point cell level classifying module are respectively connected to the source cell average downlink level interval dividing module; wherein,

the level occurrence probability calculation module is used for receiving original data which are sent by the data acquisition unit and are required for determining the coverage area of the source cell, and the original data which are required for determining the coverage area of the source cell comprise: the source cell average downlink level is used for counting the occurrence frequency of each source cell average downlink level value in the original data, calculating the occurrence probability of each source cell average downlink level value in all source cell average level values, and sending the calculated occurrence probability of each source cell average downlink level value in all source cell average level values to a source cell average downlink level interval division module;

the source cell average downlink level interval dividing module is used for smoothly connecting the probability of each source cell average downlink level value in all source cell average level values sent by the level occurrence probability calculation module by using a moving average algorithm and taking the source cell average downlink level value as a horizontal axis and the probability as a vertical axis to obtain a probability curve, performing interval division on the source cell average downlink level values by using a trough of the probability curve as a segmentation point, and sending the source cell average downlink level interval dividing result to the sampling point cell classifying module according to the level;

the sampling point cell classification module is used for classifying each sampling point cell into different source cell average downlink level intervals according to the interval division result of the source cell sent by the source cell average downlink level interval division module and the source cell average downlink level corresponding to each sampling point cell which is collected and selected, so as to obtain classification information of each sampling point cell, wherein the classification information of each sampling point cell is the source cell average downlink level interval classification information of each sampling point cell, and the obtained source cell average downlink level interval classification information of each sampling point cell is sent to the sampling point cell classification information processing unit.

12. The device according to claim 10, wherein the sampling point cell classifying unit comprises a sampling point number average calculating module and a sampling point cell classifying module according to the number of sampling points, and the sampling point number average calculating module is connected with the sampling point cell classifying module according to the number of sampling points; wherein,

the sampling point number average calculation module is used for receiving original data sent by a data acquisition unit and required for determining the coverage area of a source cell, and the original data required for determining the coverage area of the source cell comprises: the method comprises the steps that the number of sampling points of a weak interference interval of a source cell to each sampling point cell, the number of sampling points of a critical interference interval of the source cell to each sampling point cell and the number of sampling points of a strong interference interval of the source cell to each sampling point cell are respectively subjected to mean value calculation on the number of the sampling points of three interference intervals of the source cell to each sampling point cell, so that the average number of the sampling points of the corresponding interference intervals is obtained, and the obtained average number of the sampling points of the three interference intervals of the source cell to each sampling point cell is sent to a sampling point cell classification module according to the number of the sampling points;

the sampling point cell classification module according to the number of sampling points is used for classifying each sampling point cell according to the size relation between the number of sampling points in three interference intervals of each sampling point cell by a source cell and the average number of sampling points of a corresponding interference interval sent by the sampling point number average value calculation module to obtain classification information of each sampling point cell, wherein the classification information of each sampling point cell is the sampling point number classification information of each sampling point cell, and the obtained sampling point number classification information of each sampling point cell is sent to the sampling point cell classification information processing unit.

13. The apparatus of claim 10, wherein the sampling point cell classifying unit comprises a level occurrence probability calculating module, a source cell average downlink level interval dividing module, a sampling point cell level classifying module, a sampling point number average calculating module and a sampling point cell sampling point number classifying module, wherein the level occurrence probability calculating module and the sampling point cell level classifying module are respectively connected with the source cell average downlink level interval dividing module, and the sampling point number average calculating module is connected with the sampling point cell sampling point number classifying module; wherein,

the level occurrence probability calculation module is used for receiving original data which are sent by the data acquisition unit and are required for determining the coverage area of the source cell, and the original data which are required for determining the coverage area of the source cell comprise: the source cell average downlink level is used for counting the occurrence frequency of each source cell average downlink level value in the original data, calculating the occurrence probability of each source cell average downlink level value in all source cell average level values, and sending the calculated occurrence probability of each source cell average downlink level value in all source cell average level values to a source cell average downlink level interval division module;

the source cell average downlink level interval dividing module is used for smoothly connecting the probability of each source cell average downlink level value in all source cell average level values sent by the level occurrence probability calculation module by using a moving average algorithm and taking the source cell average downlink level value as a horizontal axis and the probability as a vertical axis to obtain a probability curve, performing interval division on the source cell average downlink level values by using a trough of the probability curve as a segmentation point, and sending the source cell average downlink level interval dividing result to the sampling point cell classifying module according to the level;

the sampling point cell classification according to level module is used for classifying each sampling point cell into different source cell average downlink level intervals according to the source cell average downlink level interval classification result sent by the source cell average downlink level interval classification module and the source cell average downlink level corresponding to each sampling point cell collected and selected, so as to obtain classification information of each sampling point cell, wherein the classification information of each sampling point cell is the source cell average downlink level interval classification information of each sampling point cell, and the obtained source cell average downlink level interval classification information of the sampling point cell is sent to the sampling point cell classification information processing unit;

the sampling point number average calculation module is used for receiving original data sent by a data acquisition unit and required for determining the coverage area of a source cell, and the original data required for determining the coverage area of the source cell comprises: the method comprises the steps that the number of sampling points of a weak interference interval of a source cell to each sampling point cell, the number of sampling points of a critical interference interval of the source cell to each sampling point cell and the number of sampling points of a strong interference interval of the source cell to each sampling point cell are respectively subjected to mean value calculation on the number of the sampling points of three interference intervals of the source cell to each sampling point cell, so that the average number of the sampling points of the corresponding interference intervals is obtained, and the obtained average number of the sampling points of the three interference intervals of the source cell to each sampling point cell is sent to a sampling point cell classification module according to the number of the sampling points;

the sampling point cell classification module according to the number of sampling points is used for classifying each sampling point cell according to the size relation between the number of sampling points in three interference intervals of each sampling point cell by a source cell and the average number of sampling points of a corresponding interference interval sent by the sampling point number average value calculation module to obtain classification information of each sampling point cell, wherein the classification information of each sampling point cell is the sampling point number classification information of each sampling point cell, and the obtained sampling point number classification information of each sampling point cell is sent to the sampling point cell classification information processing unit.

14. The apparatus according to any one of claims 10-13, wherein the sample point cell classification information processing unit is a Geographic Information System (GIS) platform displaying a cell distribution map.

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