Movatterモバイル変換


[0]ホーム

URL:


CN108235337B - Utilization rate baseline value estimation method and device - Google Patents

Utilization rate baseline value estimation method and device
Download PDF

Info

Publication number
CN108235337B
CN108235337BCN201611160907.XACN201611160907ACN108235337BCN 108235337 BCN108235337 BCN 108235337BCN 201611160907 ACN201611160907 ACN 201611160907ACN 108235337 BCN108235337 BCN 108235337B
Authority
CN
China
Prior art keywords
estimation
utilization rate
value
index
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201611160907.XA
Other languages
Chinese (zh)
Other versions
CN108235337A (en
Inventor
赫祎诺
王军
贾民丽
闫渊
陈翼翼
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Mobile Communications Group Co Ltd
Research Institute of China Mobile Communication Co Ltd
Original Assignee
Research Institute of China Mobile Communication Co Ltd
China Mobile Communications Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Research Institute of China Mobile Communication Co Ltd, China Mobile Communications CorpfiledCriticalResearch Institute of China Mobile Communication Co Ltd
Priority to CN201611160907.XApriorityCriticalpatent/CN108235337B/en
Publication of CN108235337ApublicationCriticalpatent/CN108235337A/en
Application grantedgrantedCritical
Publication of CN108235337BpublicationCriticalpatent/CN108235337B/en
Activelegal-statusCriticalCurrent
Anticipated expirationlegal-statusCritical

Links

Images

Classifications

Landscapes

Abstract

The invention provides a utilization rate baseline value estimation method and device, which improve the accuracy of a utilization rate baseline estimation value. In order to achieve the above object, an estimation method of a utilization factor baseline value provided in an embodiment of the present invention includes: acquiring historical service data of an area to be evaluated; determining an estimation index for utilization rate baseline value estimation according to the historical service data; the estimation index is a service volume index and/or a service performance index; and determining the utilization rate baseline estimation value of the area to be evaluated according to the variation trend of the estimation index. The invention improves the accuracy of the utilization rate baseline estimation value.

Description

Utilization rate baseline value estimation method and device
Technical Field
The present invention relates to network evaluation, and more particularly, to a method and apparatus for estimating a utilization baseline value.
Background
The network utilization rate is a key index for evaluating the network wireless resource load, and provides an important reference value for network construction and capacity expansion.
For the GSM system, a utilization rate baseline value (K value) is introduced in the calculation of the resource utilization rate of the GSM system, and is used to represent the proportion of the maximum traffic volume that the system can provide under the condition of a certain total number of traffic channels. The GSM system gives a utilization rate baseline value based on an Ireland-B model, determines the upper limit of the stable available resources of the system, and calculates the utilization rate of the current network of the GSM according to the utilization rate baseline value.
For an LTE (long term evolution) system, the network utilization of the LTE system is evaluated by using the occupation of physical resources. The physical carrier frequency resource of the LTE system is divided into a plurality of resource blocks in two dimensions of time and frequency, wherein a control channel minimum resource allocation unit is CCE (control channel element) and a traffic channel minimum resource allocation unit is PRB (physical resource block). Therefore, the utilization rate of the wireless resources of the LTE system can be evaluated by considering the CCE occupancy rate of the control channel and the PRB utilization rate of the traffic channel in the busy time of the cell in the statistical time.
The definition of the utilization rate of the TD-LTE network is as follows:
the TD-LTE network utilization rate is the minimum value of the utilization rate of PRBs (physical uplink shared channel) in busy hours, the utilization rate of PRBs of PDSCH in busy hours and the utilization rate of CCEs (control channel elements) in busy hours. And the utilization rate needs to take into account the utilization rate baseline value (K value).
In the prior art, the value of K is generally determined to be 0.5 according to experience.
However, when the value of K of the LTE system is determined to be 0.5, the requirement of certain system interference control at the initial stage of network establishment is considered, but the empirical value taking mode has a certain difference from the reasonable value of K, and a space for further optimization exists.
Disclosure of Invention
The embodiment of the invention aims to provide a utilization rate baseline value estimation method and device, which can improve the accuracy of a utilization rate baseline estimation value.
In order to achieve the above object, an embodiment of the present invention provides a utilization factor baseline value estimation method, including:
acquiring historical service data of an area to be evaluated;
determining an estimation index for utilization rate baseline value estimation according to the historical service data; the estimation index is a service volume index and/or a service performance index;
and determining the utilization rate baseline estimation value of the area to be evaluated according to the variation trend of the estimation index.
In the above utilization rate baseline value estimation method, the step of obtaining historical service data of the area to be evaluated specifically includes:
acquiring all original historical service data of an area to be evaluated;
and selecting partial original historical service data from all the original historical service data as the historical service data of the area to be evaluated according to the sequence of the traffic volume from large to small.
The utilization rate baseline value estimation method further includes:
dividing the historical service data of the area to be evaluated into at least two historical service data sets;
the determining of the estimation index for utilization rate baseline value estimation according to the historical service data specifically includes:
calculating respective corresponding estimation indexes for each historical service data set;
the determining the utilization rate baseline estimation value of the area to be evaluated according to the variation trend of the estimation index specifically comprises the following steps:
calculating a utilization rate baseline sub-estimation value corresponding to each historical service data set according to the estimation index corresponding to each historical service data set;
and determining the utilization rate baseline estimation value of the area to be evaluated according to the utilization rate baseline sub-estimation values corresponding to all historical service data sets respectively.
In the utilization rate baseline value estimation method, the determining the utilization rate baseline estimation value of the area to be evaluated according to the respective corresponding utilization rate baseline sub-estimation values of all historical service data sets specifically includes:
calculating an accumulated distribution function curve according to the utilization rate baseline sub-estimation values corresponding to all historical service data sets respectively;
and determining the utilization rate baseline estimated value of the area to be evaluated as a utilization rate baseline sub-estimated value corresponding to the condition that the value of the cumulative distribution function curve is greater than or equal to a preset threshold.
In the utilization rate baseline value estimation method, the determining the utilization rate baseline estimation value of the area to be evaluated according to the variation trend of the estimation index specifically includes:
obtaining a fitting curve of the estimation index increasing along with the number of effective RRC connection users according to the estimation index recorded in the historical service data;
and determining a utilization rate baseline estimation value of the area to be evaluated according to the fitting curve.
In the utilization rate baseline value estimation method, when the estimation index is a traffic index, the determining the utilization rate baseline estimation value of the to-be-evaluated area according to the fitting curve specifically includes:
determining a utilization rate baseline estimation value as a network utilization rate corresponding to a peak of the fitting curve; or
Determining a utilization rate baseline estimation value as a network utilization rate corresponding to the point on the fitting curve where the traffic amplification change rate is reduced;
when the estimation index is a service performance index, the determining the utilization rate baseline estimation value of the area to be evaluated according to the fitting curve specifically comprises:
and determining a utilization rate baseline estimation value as the network utilization rate corresponding to the point on the fitting curve where the performance deterioration speed is increased.
In the above method for estimating a utilization rate baseline value, when the estimation index includes a plurality of indexes, the step of determining the utilization rate baseline estimation value of the to-be-evaluated area according to the variation trend of the estimation index specifically includes:
determining a utilization rate baseline estimation intermediate value corresponding to each estimation index;
and determining the utilization rate baseline estimation value as the minimum value in the utilization rate baseline estimation intermediate values corresponding to all estimation indexes.
In order to achieve the above object, an embodiment of the present invention further provides a utilization factor baseline value estimation apparatus, including:
the data acquisition module is used for acquiring historical service data of an area to be evaluated;
the estimation index acquisition module is used for determining an estimation index for utilization rate baseline value estimation according to the historical service data; the estimation index is a service volume index and/or a service performance index;
and the estimation module is used for determining the utilization rate baseline estimation value of the area to be estimated according to the variation trend of the estimation index.
In the above utilization rate baseline value estimation apparatus, the data obtaining module specifically includes:
the system comprises an original data acquisition unit, a data processing unit and a data processing unit, wherein the original data acquisition unit is used for acquiring all original historical service data of an area to be evaluated;
and the data screening unit is used for selecting partial original historical service data from all the original historical service data as the historical service data of the area to be evaluated according to the sequence of the traffic volume from large to small.
The utilization rate baseline value estimation device described above further includes:
the grouping module is used for dividing the historical service data of the area to be evaluated into at least two historical service data sets;
the estimation indicator obtaining module is specifically configured to: calculating respective corresponding estimation indexes for each historical service data set;
the estimation module specifically includes:
the sub-estimation value calculation unit is used for calculating the utilization rate baseline sub-estimation value corresponding to each historical service data set according to the estimation index corresponding to each historical service data set;
and the first determining unit is used for determining the utilization rate baseline estimation value of the area to be evaluated according to the utilization rate baseline sub-estimation values corresponding to all historical service data sets respectively.
The utilization rate baseline value estimation apparatus described above, wherein the first determining unit is specifically configured to: and calculating an accumulated distribution function curve according to the utilization rate baseline sub-estimation values corresponding to all historical service data sets respectively, and determining that the utilization rate baseline estimation value of the to-be-evaluated area is the utilization rate baseline sub-estimation value corresponding to the preset threshold, wherein the value of the accumulated distribution function curve is greater than or equal to the value of the accumulated distribution function curve.
The utilization rate baseline value estimation device described above, wherein the estimation module specifically includes:
the fitting unit is used for obtaining a fitting curve of the estimation index increasing along with the number of the effective RRC connection users according to the estimation index recorded in the historical service data;
and the second determining unit is used for determining the utilization rate baseline estimation value of the area to be evaluated according to the fitting curve.
In the utilization rate baseline value estimation apparatus, when the estimation indicator is a traffic indicator, the second determining unit is specifically configured to: determining a utilization rate baseline estimation value as a network utilization rate corresponding to a peak of the fitting curve; or determining a utilization rate baseline estimation value as the network utilization rate corresponding to the point on the fitting curve where the traffic amplification change rate is reduced;
when the estimation index is a service performance index, the second determining unit is specifically configured to: and determining a utilization rate baseline estimation value as the network utilization rate corresponding to the point on the fitting curve where the performance deterioration speed is increased.
In the above utilization rate baseline value estimation apparatus, when the estimation indicator includes a plurality of indicators, the estimation module is specifically configured to:
the intermediate value calculating unit is used for determining the utilization rate baseline estimation intermediate value corresponding to each estimation index;
and the third determining unit is used for determining that the utilization rate baseline estimated value is the minimum value in the utilization rate baseline estimated intermediate values corresponding to all the estimation indexes.
In the utilization rate baseline value estimation method and device provided by the embodiment of the invention, historical service data is used for carrying out big data analysis, and the utilization rate baseline value is estimated by considering the service volume change trend or the service performance change trend, so that the estimation precision is improved compared with the estimation according to the empirical value in the prior art.
Drawings
FIG. 1 is a flowchart illustrating a method for estimating a utilization baseline value according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for estimating a utilization baseline value according to a second embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for estimating a utilization baseline value according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a utilization factor baseline value estimation device according to a fourth embodiment of the present invention.
Detailed Description
In the utilization rate baseline value estimation method and device provided by the embodiment of the invention, historical service data is used for carrying out big data analysis, and the utilization rate baseline value is estimated by considering the service volume change trend or the service performance change trend, so that the estimation precision is improved compared with the estimation according to the empirical value in the prior art.
As shown in fig. 1, the utilization factor baseline value estimation method according to the first embodiment of the present invention includes:
step 101, acquiring historical service data of an area to be evaluated;
step 102, determining an estimation index for utilization rate baseline value estimation according to the historical service data; the estimation index is a service volume index and/or a service performance index;
and 103, determining a utilization rate baseline estimation value of the area to be evaluated according to the variation trend of the estimation index.
In the utilization rate baseline value estimation method and device provided by the embodiment of the invention, historical service data is used for carrying out big data analysis, and the utilization rate baseline value is estimated by considering the service volume change trend and/or the service performance change trend, so that the estimation precision is improved compared with the estimation according to the empirical value in the prior art.
In the specific embodiment of the invention, the historical service data can be all historical service data, but in order to approach a utilization rate baseline value theoretical value, the historical service data can also be sample data of high traffic in the selected historical service data.
In this way, the utilization factor baseline value estimation method according to the second embodiment of the present invention is shown in fig. 2, and includes:
step 1011, acquiring all original historical service data of the area to be evaluated;
step 1012, selecting a part of original historical service data from all the original historical service data as the historical service data of the area to be evaluated according to the sequence of the traffic volume from large to small;
step 102, determining an estimation index for utilization rate baseline value estimation according to the historical service data; the estimation index is a service volume index and/or a service performance index;
and 103, determining a utilization rate baseline estimation value of the area to be evaluated according to the variation trend of the estimation index.
In the embodiment of the invention, the sample data with low traffic is deleted from the sample data, the sample data with high traffic is reserved, the theoretical value of the utilization rate baseline value can be more effectively approached, and the estimation precision is improved.
In the specific embodiment of the present invention, when the area to be evaluated is large, the area to be evaluated may be estimated as a whole, but the area to be evaluated may also be divided into a plurality of sub-areas (for example, divided in units of cells), then the utilization rate baseline value is performed on each sub-area, and finally the utilization rate baseline estimation value corresponding to the area to be evaluated is obtained by using the utilization rate baseline value of each sub-area.
In this way, the utilization factor baseline value estimation method according to the third embodiment of the present invention is shown in fig. 3, and includes:
step 101, acquiring historical service data of an area to be evaluated;
step 104, dividing the historical service data of the area to be evaluated into at least two historical service data sets;
step 1021, calculating respective corresponding estimation indexes for each historical service data set;
step 1031, calculating utilization rate baseline sub-estimation values corresponding to the historical service data sets according to estimation indexes corresponding to the historical service data sets;
and 1032, determining the utilization rate baseline estimation value of the area to be evaluated according to the utilization rate baseline sub-estimation values corresponding to all historical service data sets respectively.
In the utilization rate baseline value estimation method according to the third embodiment of the present invention, the area to be evaluated is divided into a plurality of sub-areas, then the utilization rate baseline value estimation is performed on each sub-area, and finally the utilization rate baseline estimation value corresponding to the area to be evaluated is obtained by using the utilization rate baseline estimation value of each sub-area.
And the peak value of the data processing amount is greatly reduced when the utilization rate baseline value estimation is carried out on the sub-region each time, and the requirement on the computing capacity is reduced. Meanwhile, the utilization rate baseline estimation value of the subarea can be calculated in a parallel mode by calculating the subareas, and the processing speed can be improved.
The determination of the final utilization rate baseline estimation value of the to-be-evaluated area by using the utilization rate baseline sub-estimation values corresponding to the plurality of areas can be implemented in a plurality of ways, wherein one way is as follows:
calculating an accumulated distribution function curve according to the utilization rate baseline sub-estimation values corresponding to all historical service data sets respectively;
determining the utilization rate baseline estimation value of the area to be evaluated as follows: and the value of the accumulated distribution function curve is greater than or equal to the utilization rate baseline sub-estimation value corresponding to the preset threshold.
The cumulative distribution function of the utilization baseline estimate can characterize a probability that the utilization baseline estimate is less than or equal to a certain value.
In the embodiment of the present invention, the predetermined threshold may be set to, for example, 80%, but the value may be set according to needs, for example, when the tolerance of the user to the service quality is higher, the threshold may be higher, otherwise, the threshold may be lower.
In the foregoing embodiment, after obtaining the estimation indicator, the utilization baseline estimation value of the area to be evaluated may be determined according to the variation trend of the estimation indicator, and one possible manner is as follows:
obtaining a fitting curve of the estimation index increasing along with the number of effective RRC connection users according to the estimation index recorded in the historical service data;
and determining a utilization rate baseline estimation value of the area to be evaluated according to the fitting curve.
When the estimation index is a traffic index, the determining the utilization rate baseline estimation value of the to-be-evaluated area according to the fitting curve specifically comprises:
determining a utilization rate baseline estimation value as a network utilization rate corresponding to a peak of the fitting curve; or
And determining a utilization rate baseline estimation value as the network utilization rate corresponding to the point on the fitting curve where the traffic amplification change rate is reduced.
And when the estimation index is a service performance index, the determining the utilization rate baseline estimation value of the area to be evaluated according to the fitting curve specifically comprises:
and determining a utilization rate baseline estimation value as the network utilization rate corresponding to the point on the fitting curve where the performance deterioration speed is increased.
This is explained as follows.
In a specific embodiment of the present invention, the traffic indicator may be one or more of the following indicators:
downlink PDSCH PRB utilization rate, uplink PUSCH PRB utilization rate, downlink PDCCH CCE utilization rate, network utilization rate, effective RRC connection maximum user number, effective RRC connection average user number, RRC connection maximum user number, RRC connection average user number, uplink traffic channel flow, downlink traffic channel flow and the like.
And the service performance index may be one or more of the following:
the uplink average rate, the uplink peak rate, the downlink average rate, the downlink peak rate, the downlink first packet queuing time, the E-RAB average queuing time delay, the RRC connection establishment success rate, the wireless access rate and the like.
The data are closely related to the number of the effective RRC connection users, so that in the specific embodiment of the invention, a fitting curve of the estimation index increasing along with the number of the effective RRC connection users is obtained, and then different points are selected according to the fitting curve and the characteristics of the estimation index to determine the utilization rate baseline estimation value of the area to be evaluated.
For example, for the flow, when the number of users exceeds a certain value, the sum of the uplink and downlink flows is not increased any more, but is decreased, and therefore, when the estimation index adopts the sum of the uplink and downlink flows and/or other indexes with similar performance, the network utilization corresponding to the peak of the fitting curve can be taken as the utilization baseline estimation value of the area to be evaluated.
For example, for traffic, when the number of users exceeds a certain value, the rate of increase of downlink traffic is significantly reduced, and therefore, when the estimation index adopts an index of traffic change rate, the network utilization corresponding to the point on the fitting curve where the rate of change of traffic amplification is reduced may be taken as the baseline estimation value of the utilization of the area to be evaluated.
For example, for a service performance index, when the number of users exceeds a certain number, the service performance is reduced, and therefore, when the index is estimated to adopt an index of a service performance change speed, the network utilization corresponding to a point on the fitting curve where the performance deterioration speed is increased can be taken as a utilization baseline estimation value of the area to be evaluated.
When the estimation index includes a plurality of estimation indexes, the worst case should be considered to meet the performance requirement of the system, so the step of determining the utilization rate baseline estimation value of the area to be evaluated according to the variation trend of the estimation index specifically includes:
determining a utilization rate baseline estimation intermediate value corresponding to each estimation index;
and determining the utilization rate baseline estimation value as the minimum value in the utilization rate baseline estimation intermediate values corresponding to all estimation indexes.
The method of the present invention is described in further detail below.
When the method of not dividing the area is adopted, firstly, the data of the sample points with higher service volume (such as the sample data with 10% of the top service volume ranking) is selected from the historical service data according to the utilization rate or the uplink and downlink flow, and a user number-service volume index and a user number-service performance index dot diagram of the selected historical service data are drawn.
Because the expected system service level has a great influence on the value of the utilization rate baseline value, the methods for determining the estimated value of the utilization rate baseline value according to the traffic index are mainly divided into two methods:
and fitting the sample points in the dotting diagram by using a proper fitting curve, and taking a utilization rate value which can be reached by the peak of a certain traffic index fitting curve as an estimated value of a utilization rate base line value of the area to be evaluated. And
and fitting the sample points in the dotting diagram by using a proper fitting curve, and taking a utilization value which can be reached at an amplification and slowing point of a certain traffic index fitting curve as an estimated value of a utilization baseline value of the area to be evaluated.
The mode of determining the utilization rate baseline estimation value according to the service performance index adopts the following mode:
and fitting the sample points in the dotting diagram by using a proper fitting curve, and taking the utilization rate value of the obvious deterioration point of a certain service performance index fitting curve as a utilization rate baseline estimation value of the area to be evaluated.
Thus, the utilization rate baseline estimation value of the area to be evaluated can be determined.
When the partition method is adopted, the difference is only that the utilization rate baseline estimation values of the sub-regions need to be synthesized to obtain the utilization rate baseline estimation value of the whole region, such as:
taking the average value of the utilization rate baseline estimation values of all the sub-areas as the utilization rate baseline estimation value of the area to be evaluated; or
Sorting the utilization rate baseline estimation values of all the subregions from large to small, and taking the utilization rate baseline estimation value at Y percent (such as 60 percent) of the subregions as the utilization rate baseline estimation value of the region to be evaluated.
The fourth embodiment of the present invention further provides a utilization factor baseline value estimation apparatus, as shown in fig. 4, including:
the data acquisition module is used for acquiring historical service data of an area to be evaluated;
the estimation index acquisition module is used for determining an estimation index for utilization rate baseline value estimation according to the historical service data; the estimation index is a service volume index and/or a service performance index;
and the estimation module is used for determining the utilization rate baseline estimation value of the area to be estimated according to the variation trend of the estimation index.
In the above utilization rate baseline value estimation apparatus, the data obtaining module specifically includes:
the system comprises an original data acquisition unit, a data processing unit and a data processing unit, wherein the original data acquisition unit is used for acquiring all original historical service data of an area to be evaluated;
and the data screening unit is used for selecting partial original historical service data from all the original historical service data as the historical service data of the area to be evaluated according to the sequence of the traffic volume from large to small.
The utilization rate baseline value estimation device described above further includes:
the grouping module is used for dividing the historical service data of the area to be evaluated into at least two historical service data sets;
the estimation indicator obtaining module is specifically configured to: calculating respective corresponding estimation indexes for each historical service data set;
the estimation module specifically includes:
the sub-estimation value calculation unit is used for calculating the utilization rate baseline sub-estimation value corresponding to each historical service data set according to the estimation index corresponding to each historical service data set;
and the first determining unit is used for determining the utilization rate baseline estimation value of the area to be evaluated according to the utilization rate baseline sub-estimation values corresponding to all historical service data sets respectively.
The utilization rate baseline value estimation apparatus described above, wherein the first determining unit is specifically configured to: and calculating an accumulated distribution function curve according to the utilization rate baseline sub-estimation values corresponding to all historical service data sets respectively, and determining that the utilization rate baseline estimation value of the to-be-evaluated area is the utilization rate baseline sub-estimation value corresponding to the preset threshold, wherein the value of the accumulated distribution function curve is greater than or equal to the value of the accumulated distribution function curve.
The utilization rate baseline value estimation device described above, wherein the estimation module specifically includes:
the fitting unit is used for obtaining a fitting curve of the estimation index increasing along with the number of the effective RRC connection users according to the estimation index recorded in the historical service data;
and the second determining unit is used for determining the utilization rate baseline estimation value of the area to be evaluated according to the fitting curve.
In the utilization rate baseline value estimation apparatus, when the estimation indicator is a traffic indicator, the second determining unit is specifically configured to: determining a utilization rate baseline estimation value as a network utilization rate corresponding to a peak of the fitting curve; or determining a utilization rate baseline estimation value as the network utilization rate corresponding to the point on the fitting curve where the traffic amplification change rate is reduced;
when the estimation index is a service performance index, the second determining unit is specifically configured to: and determining a utilization rate baseline estimation value as the network utilization rate corresponding to the point on the fitting curve where the performance deterioration speed is increased.
In the above utilization rate baseline value estimation apparatus, when the estimation indicator includes a plurality of indicators, the estimation module is specifically configured to:
the intermediate value calculating unit is used for determining the utilization rate baseline estimation intermediate value corresponding to each estimation index;
and the third determining unit is used for determining that the utilization rate baseline estimated value is the minimum value in the utilization rate baseline estimated intermediate values corresponding to all the estimation indexes.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (8)

CN201611160907.XA2016-12-152016-12-15Utilization rate baseline value estimation method and deviceActiveCN108235337B (en)

Priority Applications (1)

Application NumberPriority DateFiling DateTitle
CN201611160907.XACN108235337B (en)2016-12-152016-12-15Utilization rate baseline value estimation method and device

Applications Claiming Priority (1)

Application NumberPriority DateFiling DateTitle
CN201611160907.XACN108235337B (en)2016-12-152016-12-15Utilization rate baseline value estimation method and device

Publications (2)

Publication NumberPublication Date
CN108235337A CN108235337A (en)2018-06-29
CN108235337Btrue CN108235337B (en)2021-01-19

Family

ID=62650456

Family Applications (1)

Application NumberTitlePriority DateFiling Date
CN201611160907.XAActiveCN108235337B (en)2016-12-152016-12-15Utilization rate baseline value estimation method and device

Country Status (1)

CountryLink
CN (1)CN108235337B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN109728945B (en)*2018-12-252021-12-28中电福富信息科技有限公司Abnormal threshold judgment method based on broadband key quality index
CN111970073B (en)*2020-08-102022-07-08中国联合网络通信集团有限公司 A method and device for determining network load status

Citations (5)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN105323783A (en)*2014-07-312016-02-10中国移动通信集团公司Capacity expansion evaluation method and device for wireless communication system
CN105323770A (en)*2014-07-312016-02-10中国移动通信集团公司Expansion estimation method and expansion estimation device of wireless communication system
CN105392154A (en)*2014-09-052016-03-09中兴通讯股份有限公司Resource occupation prediction method and system
CN105611546A (en)*2015-12-212016-05-25中国联合网络通信集团有限公司Network expansion method and network expansion evaluation device
CN105992233A (en)*2015-02-132016-10-05中国移动通信集团浙江有限公司Method and device for calculating capacity baseline of network service

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US9144084B2 (en)*2011-06-132015-09-22Qualcomm IncorporatedMulti-radio coexistence

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN105323783A (en)*2014-07-312016-02-10中国移动通信集团公司Capacity expansion evaluation method and device for wireless communication system
CN105323770A (en)*2014-07-312016-02-10中国移动通信集团公司Expansion estimation method and expansion estimation device of wireless communication system
CN105392154A (en)*2014-09-052016-03-09中兴通讯股份有限公司Resource occupation prediction method and system
CN105992233A (en)*2015-02-132016-10-05中国移动通信集团浙江有限公司Method and device for calculating capacity baseline of network service
CN105611546A (en)*2015-12-212016-05-25中国联合网络通信集团有限公司Network expansion method and network expansion evaluation device

Also Published As

Publication numberPublication date
CN108235337A (en)2018-06-29

Similar Documents

PublicationPublication DateTitle
JP6434659B2 (en) Method and apparatus for network capacity expansion
Wang et al.Carrier load balancing and packet scheduling for multi-carrier systems
CN112543508B (en) Wireless resource allocation method and network architecture for 5G network slicing
CN105992228B (en) A wireless network expansion method, device and electronic equipment
CN110351002B (en)Priority determination and monitoring method and device for candidate PDCCH (physical Downlink control channel), storage medium, base station and terminal
CN110166203B (en) Determination and detection method and device of physical downlink control channel, base station and terminal
CN101754381A (en)Cognitive system cell spectrum allocation method, device and system
CN103220796A (en)Downlink transmission method and device thereof
CN103338470B (en)Spectrum requirement Forecasting Methodology and device
CN110519854B (en) An uplink frequency selection scheduling method, device, electronic equipment and storage medium
CN108271197B (en)LTE capacity analysis method and device
CN111263403A (en)Method and device for balancing loads among multi-frequency cells in LTE network
CN104936188B (en)Determine the method and device of wireless network resource utilization rate
CN102404862B (en)Method for PDCCH (Physical Downlink Control Channel) resource allocation in LTE (Long Term Evolution) system
CN108235337B (en)Utilization rate baseline value estimation method and device
CN110366217B (en)Carrier switching method, device and medium based on asymmetric uplink carrier aggregation
WO2018028537A1 (en)Access control method, device and system
CN102077677B (en) Wireless communication system, communication device, wireless communication method, and wireless communication program
CN109495900B (en)Capacity expansion method and device and computer readable storage medium
CN101657000B (en) A method and system for determining an access network
CN109121165B (en)Load balancing processing method and device based on uplink big packet service
CN107947890A (en)A kind of inter-cell interference coordination method and the network equipment
CN102387594B (en)Resource distributing method and equipment
CN108124313B (en)Resource allocation method and base station
CN112954808A (en)Carrier resource adjusting method, device, storage medium and computer equipment

Legal Events

DateCodeTitleDescription
PB01Publication
PB01Publication
SE01Entry into force of request for substantive examination
SE01Entry into force of request for substantive examination
GR01Patent grant
GR01Patent grant

[8]ページ先頭

©2009-2025 Movatter.jp