技术领域technical field
本发明涉及通信技术，尤其涉及一种无线网络的节能方法及装置。The present invention relates to communication technology, in particular to a wireless network energy saving method and device.
背景技术Background technique
随着通信技术的不断发展和广泛应用，信息通信产业的能源消耗逐年增加。其中，对于运营商而言，电量的消耗所占的费用已经超过总运营费用的一半。因此，运营商越来越重视节能环节，以降低运营成本。当前，在无线通信网络中，基站不仅数量庞大，且能耗很大。With the continuous development and wide application of communication technology, the energy consumption of the information communication industry is increasing year by year. Among them, for the operator, the cost of power consumption has already exceeded half of the total operating cost. Therefore, operators pay more and more attention to energy-saving links to reduce operating costs. At present, in a wireless communication network, there are not only a large number of base stations, but also a large amount of energy consumption.
实际使用过程中，不同时间段，对基站的需求量不同，现有技术中，在部署无线通信网络时，是按照高峰期的需求来部署的，并且将所部署的基站全部开启。In actual use, different time periods have different demands on base stations. In the prior art, when deploying a wireless communication network, it is deployed according to peak demand, and all deployed base stations are turned on.
但是，采用现有技术，在某些对基站需求量较低的时段内，存在着大量的能源浪费。However, using the existing technology, there is a large amount of energy wasted in some periods of time when the demand for the base station is low.
发明内容Contents of the invention
本发明提供一种无线网络的节能方法及装置，用于解决能源浪费的问题。The invention provides an energy-saving method and device for a wireless network, which are used to solve the problem of energy waste.
本发明第一方面提供一种无线网络的节能方法，包括：The first aspect of the present invention provides a wireless network energy saving method, including:
获取预设时间段内无线网络的业务参数信息；Obtaining service parameter information of the wireless network within a preset time period;
当所述业务参数的值小于预设阈值时，则采用蚁群算法确定关闭所述无线网络中的多个目标基站；When the value of the service parameter is less than the preset threshold, an ant colony algorithm is used to determine to close multiple target base stations in the wireless network;
控制所述无线网络中未关闭的基站完成所述多个目标基站的原覆盖范围和容量补偿。Controlling the base stations that are not shut down in the wireless network to complete the original coverage and capacity compensation of the multiple target base stations.
本发明第二方面提供一种无线网络的节能装置，包括The second aspect of the present invention provides an energy-saving device for a wireless network, including
获取模块，用于获取预设时间段内无线网络的业务参数信息；An acquisition module, configured to acquire service parameter information of the wireless network within a preset time period;
确定模块，用于当所述业务参数的值小于预设阈值时，则采用蚁群算法确定关闭所述无线网络中的多个目标基站；A determining module, configured to use an ant colony algorithm to determine to close multiple target base stations in the wireless network when the value of the service parameter is less than a preset threshold;
控制模块，用于控制所述无线网络中未关闭的基站完成所述多个目标基站的原覆盖范围和容量补偿。A control module, configured to control the base stations that are not shut down in the wireless network to complete the original coverage and capacity compensation of the multiple target base stations.
本发明提供的无线网络的节能方法及装置，获取预设时间段内无线网络的业务参数信息，当业务参数的值小于预设阈值，则采用蚁群算法确定关闭无线网络中的多个目标基站，并控制无线网络中未关闭的基站完成上述多个目标基站的原覆盖范围和容量补偿。实现了关闭部分基站来进行节能，并实现了在保证覆盖范围的情况下无线网络很好的节能。The energy-saving method and device of the wireless network provided by the present invention obtain the service parameter information of the wireless network within a preset time period, and when the value of the service parameter is less than the preset threshold value, the ant colony algorithm is used to determine the shutdown of multiple target base stations in the wireless network , and control the base stations that are not closed in the wireless network to complete the original coverage and capacity compensation of the above-mentioned multiple target base stations. It realizes turning off some base stations to save energy, and realizes a good energy saving of the wireless network under the condition of ensuring the coverage.
附图说明Description of drawings
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description These are some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained according to these drawings without any creative effort.
图1为本发明提供的无线网络的节能方法实施例一的流程示意图；FIG. 1 is a schematic flowchart of Embodiment 1 of an energy saving method for a wireless network provided by the present invention;
图2为本发明提供的无线网络的节能方法实施例二的流程示意图；FIG. 2 is a schematic flowchart of Embodiment 2 of the energy saving method for a wireless network provided by the present invention;
图3为本发明提供的无线网络的节能方法实施例三的流程示意图；FIG. 3 is a schematic flowchart of Embodiment 3 of the energy saving method for a wireless network provided by the present invention;
图4为本发明提供的无线网络的节能装置实施例一的结构示意图。FIG. 4 is a schematic structural diagram of Embodiment 1 of an energy saving device for a wireless network provided by the present invention.
具体实施方式Detailed ways
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
本发明实施例中所指的无线网络可以是通用移动通信系统(Universal MobileTelecommunications System，UMTS)第三代移动通信技术(3G)网络，但并不以此为限。The wireless network referred to in the embodiment of the present invention may be a Universal Mobile Telecommunications System (Universal Mobile Telecommunications System, UMTS) third-generation mobile communication technology (3G) network, but it is not limited thereto.
图1为本发明提供的无线网络的节能方法实施例一的流程示意图，如图1所示，该方法包括：Fig. 1 is a schematic flowchart of Embodiment 1 of an energy-saving method for a wireless network provided by the present invention. As shown in Fig. 1, the method includes:
S101、获取预设时间段内无线网络的业务参数信息。S101. Obtain service parameter information of a wireless network within a preset time period.
通过监听整个无线网络，获取业务参数信息。Obtain service parameter information by monitoring the entire wireless network.
该业务参数信息可以包括：业务量信息或用户数量信息等。The service parameter information may include: service volume information or user quantity information, and the like.
S102、当上述业务参数的值小于预设阈值时，则采用蚁群算法确定关闭上述无线网络中的多个目标基站。S102. When the value of the above-mentioned service parameter is less than the preset threshold, use an ant colony algorithm to determine to shut down multiple target base stations in the above-mentioned wireless network.
即可以在业务量小于对应预设阈值时，采用蚁群算法确定关闭上述无线网络中的多个目标基站；或者，在用户数量小于对应预设阈值时，采用蚁群算法确定关闭上述无线网络中的多个目标基站。本实施例中并不以此为限。That is, when the traffic volume is less than the corresponding preset threshold, the ant colony algorithm can be used to determine to close multiple target base stations in the above wireless network; multiple target base stations. This embodiment is not limited thereto.
S103、控制上述无线网络中未关闭的基站完成上述多个目标基站的原覆盖范围和容量补偿。S103. Control the unshutdown base stations in the wireless network to complete the original coverage and capacity compensation of the multiple target base stations.
即控制上述无线网络中除上述多个目标基站外的其它基站来分担这多个基站的管理工作，即分担这的多个基站的原覆盖范围和容量补偿，以实现节能。That is, control other base stations in the above wireless network except the above multiple target base stations to share the management work of these multiple base stations, that is, share the original coverage and capacity compensation of these multiple base stations, so as to realize energy saving.
本实施例中，获取预设时间段内无线网络的业务参数信息，当业务参数的值小于预设阈值，则采用蚁群算法确定关闭无线网络中的多个目标基站，并控制无线网络中未关闭的基站完成上述多个目标基站的原覆盖范围和容量补偿，从而实现了在保证覆盖范围的情况下无线网络很好的节能。In this embodiment, the service parameter information of the wireless network within a preset period of time is obtained, and when the value of the service parameter is less than the preset threshold, the ant colony algorithm is used to determine to shut down multiple target base stations in the wireless network, and to control the wireless network. The closed base station completes the original coverage and capacity compensation of the above-mentioned multiple target base stations, thereby achieving a good energy saving of the wireless network under the condition of ensuring the coverage.
另一实施例中，上述控制上述无线网络中未关闭的基站完成上述多个目标基站的原覆盖范围和容量补偿，可以是控制上述无线网络中与上述多个目标基站相邻的未关闭的基站完成对应的上述目标基站的原覆盖范围和容量补偿。即确定关闭某个基站，则由这个基站的相邻基站来完成该基站原来的管理工作，具体地，由这个基站的相邻基站完成该基站原覆盖范围和容量补偿。In another embodiment, the above-mentioned control of the non-shutdown base stations in the above-mentioned wireless network to complete the original coverage and capacity compensation of the above-mentioned multiple target base stations may be to control the non-shutdown base stations adjacent to the above-mentioned multiple target base stations in the above-mentioned wireless network Complete the original coverage and capacity compensation of the corresponding target base station. That is, if it is determined to close a certain base station, the original management work of the base station is completed by the adjacent base stations of the base station, specifically, the original coverage and capacity compensation of the base station is completed by the adjacent base stations of the base station.
需要说明的是，要关闭的某个基站可能有多个相邻基站，那么可由这些相邻基站共同承担这个基站的原覆盖范围和容量补偿。具体地，可以增大这些相邻基站的覆盖范围。It should be noted that a base station to be shut down may have multiple adjacent base stations, and these adjacent base stations may jointly undertake the original coverage and capacity compensation of the base station. Specifically, the coverage of these adjacent base stations can be increased.
图2为本发明提供的无线网络的节能方法实施例二的流程示意图，在图1所示实施例的基础上，如图2所示，上述采用蚁群算法确定关闭上述无线网络中的多个目标基站，包括：Fig. 2 is a schematic flow chart of Embodiment 2 of the energy-saving method of the wireless network provided by the present invention. On the basis of the embodiment shown in Fig. 1, as shown in Fig. Target base stations, including:
S201、将m只蚂蚁随机放到上述无线网络的n个基站上；其中m小于n。S201. Randomly place m ants on the n base stations of the wireless network; wherein m is smaller than n.
其中，以无线网络中各个基站的开关状态为食物源。Wherein, the switch state of each base station in the wireless network is taken as the food source.
S202、采用蚁群算法，获取上述n个基站中各基站的状态概率。S202. Using an ant colony algorithm, obtain the state probability of each base station among the n base stations.
其中，基站j的状态概率其中u∈{1,.....,num}，j∈{1,.....,n}，k∈{1,.....,m}，k表示蚂蚁的编号，num表示所取样的能耗与覆盖半径的关系对的数目，τij表示信息素信息，ηij表示启发式信息，参数因子α、β控制所述信息素信息和所述启发式信息的相对重要性。α≥0，β≥0。假设编号为k的蚂蚁所选择的路径是基站i到基站j。t表示当前时刻。Among them, the state probability of base station j Where u∈{1,...,num}, j∈{1,...,n}, k∈{1,...,m}, k represents the number of the ant, num Represents the number of relationship pairs between the sampled energy consumption and coverage radius, τij represents pheromone information, ηij represents heuristic information, parameter factors α, β control the relative importance of the pheromone information and the heuristic information . α≥0, β≥0. Assume that the path selected by the ant numbered k is from base station i to base station j. t represents the current moment.
需要说明的是，蚂蚁被随机摆放在各个节点上，其中，每个蚂蚁是基于选择概率来选择一个基站的开关状态，而后逐步构造问题的解，最终目的是寻求最优解，即网络中各个基站的开启或关闭状态。It should be noted that the ants are randomly placed on each node, and each ant selects the switch state of a base station based on the selection probability, and then gradually constructs the solution of the problem, the ultimate goal is to seek the optimal solution, that is, The on or off status of each base station.
S203、将上述n个基站中各基站的状态概率写入禁忌表。S203. Write the state probabilities of each of the above n base stations into a taboo table.
该禁忌表中的状态概率只有“1”和“0”两种情况。The state probabilities in this tabu table only have two cases of "1" and "0".
S204、根据上述禁忌表，将上述禁忌表中状态概率为0的基站作为目标基站进行关闭。S204. According to the taboo table, deactivate the base station whose state probability is 0 in the taboo table as the target base station.
即状态概率为1的基站需要开启，而状态概率为0的基站需要关闭，从而实现在不影响业务的情况下进行较好的节能。That is, base stations with a state probability of 1 need to be turned on, while base stations with a state probability of 0 need to be turned off, so as to achieve better energy saving without affecting services.
其中，上述信息素信息其中，i∈{1,.....,num}，j∈{1,.....,n}，ρ为挥发系数，表示本次迭代过程中编号为k的蚂蚁从第i基站到第j基站所遗留的信息素信息浓度。具体地，蚂蚁所释放的信息素会随着时间的流逝而挥发，这里用ρ来代表每次迭代后以前的信息素信息的挥发情况，这也就能避免优化答案趋于局优解的问题。Among them, the above pheromone information Among them, i∈{1,...,num}, j∈{1,...,n}, ρ is the volatility coefficient, Indicates the concentration of pheromone information left by the ant numbered k from the i base station to the j base station during this iteration. Specifically, the pheromones released by ants will volatilize with the passage of time. Here, ρ is used to represent the volatilization of the previous pheromone information after each iteration, which can also avoid the problem that the optimization answer tends to be an optimal solution. .
需要说明的是，蚂蚁会在所经过的每个基站上留下信息素。m只蚂蚁全部完成一次迭代后，信息素信息都要进行更新一下。It should be noted that ants will leave pheromones on each base station they pass by. After all the m ants complete an iteration, the pheromone information must be updated.
进一步地，可以设蚂蚁在整个求解过程中的信息素排放量为定值Q，当该蚂蚁迭代走过所有基站节点是，设该蚂蚁的总路径大小为f(πk(t))，Further, the pheromone emission of the ant in the whole solution process can be set as a fixed value Q, when the ant iteratively walks through all the base station nodes, the total path size of the ant is f(πk (t)),
当编号为k的蚂蚁从基站i处选取某条路径到基站j。 When the ant numbered k chooses a certain path from base station i to base station j.
在上述实施例的基础上，上述启发式信息启发式信息主要由决定，表示当编号为k的蚂蚁选择从第i基站到第j基站的路径而使基站覆盖范围发生改变的容忍度约束条件。Power(2,j)表示基站j在不同覆盖范围情况下损耗功率的大小。其中与无线网络的服务质量有关，具体地，i，j∈{1，.....，n}。On the basis of the above embodiments, the above heuristic information Heuristic information mainly consists of Decide, Indicates the tolerance constraint condition of changing the coverage of the base station when the ant numbered k chooses the path from the i base station to the j base station. Power(2,j) represents the power loss of base station j under different coverage conditions. in related to the quality of service of wireless networks, specifically, i, j ∈ {1, . . . , n}.
Covij表示基站i和基站j的重叠面积，S_area表示上述无线网络的总体覆盖面积，Sth表示上述无线网络的覆盖面积区域服务质量的容忍值，参数用于确保一个基站覆盖范围的活跃用户的服务质量。Covij represents the overlapping area of base station i and base station j, S_area represents the overall coverage area of the above-mentioned wireless network, Sth represents the tolerance value of service quality in the coverage area of the above-mentioned wireless network, and the parameter Used to ensure the quality of service of active users within the coverage of a base station.
更具体地，其中，w表示活跃用户，degree(w)j表示基站j的覆盖范围内的用户总数，Threshold_BSj表示基站j的最大用户容量。More specifically, Among them, w represents active users, degree(w)j represents the total number of users within the coverage of base station j, and Threshold_BSj represents the maximum user capacity of base station j.
图3为本发明提供的无线网络的节能方法实施例三的流程示意图，在图2所示实施例的基础上，如图3所示，采用蚁群算法，获取上述n个基站中各基站的状态概率，包括：Fig. 3 is a schematic flow chart of Embodiment 3 of the energy saving method for a wireless network provided by the present invention. On the basis of the embodiment shown in Fig. 2, as shown in Fig. 3, the ant colony algorithm is used to obtain the information of each of the above n base stations State probabilities, including:
S301、初始化各参数，其中，时间t＝0，循环次数Nc＝0，并设置最大循环次数Nmax。其中，路径(i，j)的初始化信息量τij(t)为常数1，Δτij＝0。S301. Initialize various parameters, wherein, time t=0, number of cycles Nc=0, and set a maximum number of cycles Nmax. Wherein, the initialization information amount τij (t) of the path (i, j) is a constant 1, and Δτij =0.
S302、将m只蚂蚁随机放在无线网络的n个基站上。S302. Randomly place m ants on n base stations of the wireless network.
S303、对循环次数Nc加1。即Nc＝Nc+1。S303. Add 1 to the number of cycles Nc. That is, Nc=Nc+1.
S304、将基站编号设为h＝1。S304. Set the base station number as h=1.
S305、对基站编号加1。即h＝h+1。S305. Add 1 to the base station number. That is, h=h+1.
S306、根据基站h的状态概率计算蚂蚁选择下一基站的状态概率，将蚂蚁移动到具有最大状态概率的基站。S306. Calculate the state probability of the ant selecting the next base station according to the state probability of the base station h, and move the ant to the base station with the maximum state probability.
具体地，计算基站h附近基站的状态概率，从中选择状态概率最大基站作为编号为h+1的基站，并将蚂蚁移动到该编号为h+1的基站。Specifically, calculate the state probability of base stations near base station h, select the base station with the highest state probability as the base station numbered h+1, and move the ant to the base station numbered h+1.
S307、将编号为h的基站的状态概率写入禁忌表。S307. Write the state probability of the base station numbered h into the tabu table.
需要说明的是，S304～S307是针对m只蚂蚁中的一只蚂蚁来进行的计算分析。It should be noted that S304 to S307 are calculation and analysis performed on one ant among the m ants.
S308、判断h是否小于n，若是，则返回执行S305。若否，则执行S309。S308. Determine whether h is smaller than n, and if so, return to execute S305. If not, execute S309.
S309、计算整个蚁群的信息素信息和启发式信息，以更新每条路径的信息素信息和启发式信息。S309. Calculate the pheromone information and heuristic information of the entire ant colony, so as to update the pheromone information and heuristic information of each path.
S310、判断Nc是否小于Nmax，若是，则将禁忌表清空后返回执行S303；若否，则输出禁忌表，结束流程。S310. Determine whether Nc is smaller than Nmax. If yes, clear the taboo list and return to execute S303; if not, output the taboo list and end the process.
之后根据禁忌表对无线网络的基站进行开启或关闭。Then the base station of the wireless network is turned on or off according to the taboo table.
图4为本发明提供的无线网络的节能装置实施例一的结构示意图，如图4所示，该装置包括：获取模块401、确定模块402和控制模块403，其中：Fig. 4 is a schematic structural diagram of Embodiment 1 of an energy-saving device for a wireless network provided by the present invention. As shown in Fig. 4, the device includes: an acquisition module 401, a determination module 402, and a control module 403, wherein:
获取模块401，用于获取预设时间段内无线网络的业务参数信息。The obtaining module 401 is configured to obtain service parameter information of the wireless network within a preset time period.
确定模块402，用于当所述业务参数的值小于预设阈值时，采用蚁群算法确定关闭所述无线网络中的多个目标基站。The determination module 402 is configured to determine to shut down multiple target base stations in the wireless network by using an ant colony algorithm when the value of the service parameter is less than a preset threshold.
控制模块403，用于控制所述无线网络中未关闭的基站完成所述多个目标基站的原覆盖范围和容量补偿。The control module 403 is configured to control the unshutdown base stations in the wireless network to complete the original coverage and capacity compensation of the multiple target base stations.
本实施例中，获取预设时间段内无线网络的业务参数信息，当业务参数的值小于预设阈值，则采用蚁群算法确定关闭无线网络中的多个目标基站，并控制无线网络中未关闭的基站完成上述多个目标基站的原覆盖范围和容量补偿，从而实现了在保证覆盖范围的情况下无线网络很好的节能。In this embodiment, the service parameter information of the wireless network within a preset period of time is obtained, and when the value of the service parameter is less than the preset threshold, the ant colony algorithm is used to determine to shut down multiple target base stations in the wireless network, and to control the wireless network. The closed base station completes the original coverage and capacity compensation of the above-mentioned multiple target base stations, thereby achieving a good energy saving of the wireless network under the condition of ensuring the coverage.
进一步地，控制模块403，具体用于控制所述无线网络中与所述多个目标基站相邻的未关闭的基站完成对应的所述目标基站的原覆盖范围和容量补偿。Further, the control module 403 is specifically configured to control the non-shutdown base stations adjacent to the multiple target base stations in the wireless network to complete the original coverage and capacity compensation of the corresponding target base stations.
确定模块402，具体用于将m只蚂蚁随机放到所述无线网络的n个基站上，其中m小于n；采用蚁群算法，获取所述n个基站中各基站的状态概率，其中，基站j的状态概率其中u∈{1,.....,num}，j∈{1,.....,n}，k∈{1,.....,m}，k表示蚂蚁的编号，num表示所取样的能耗与覆盖半径的关系对的数目，τij表示信息素信息，ηij表示启发式信息，参数因子α、β控制所述信息素信息和所述启发式信息的相对重要性；将所述n个基站中各基站的状态概率写入禁忌表；根据所述禁忌表，将所述禁忌表中状态概率为0的基站作为目标基站进行关闭。The determining module 402 is specifically used to randomly place m ants on n base stations of the wireless network, wherein m is less than n; adopt an ant colony algorithm to obtain the state probability of each base station in the n base stations, wherein the base station state probability of j Where u∈{1,...,num}, j∈{1,...,n}, k∈{1,...,m}, k represents the number of the ant, num Represents the number of relationship pairs between the sampled energy consumption and coverage radius, τij represents pheromone information, ηij represents heuristic information, parameter factors α, β control the relative importance of the pheromone information and the heuristic information ; Write the state probability of each base station in the n base stations into a taboo table; according to the taboo table, close the base station with a state probability of 0 in the taboo table as a target base station.
在上述实施例的基础上，所述信息素信息其中，i∈{1,.....,num}，j∈{1,.....,n}，ρ为挥发系数，表示本次迭代过程中编号为k的蚂蚁从第i基站到第j基站所遗留的信息素信息浓度。On the basis of the above embodiments, the pheromone information Among them, i∈{1,...,num}, j∈{1,...,n}, ρ is the volatility coefficient, Indicates the concentration of pheromone information left by the ant numbered k from the i base station to the j base station during this iteration.
所述启发式信息表示当编号为k的蚂蚁选择从第i基站到第j基站的路径而使基站覆盖范围发生改变的容忍度约束条件。The heuristic information Indicates the tolerance constraint condition of changing the coverage of the base station when the ant numbered k chooses the path from the i base station to the j base station.
所述业务参数信息为业务量信息或用户数量信息。The service parameter information is service volume information or user quantity information.
该装置用于执行前述方法实施例，其实现原理和技术效果类似，在此不再赘述。The device is used to execute the foregoing method embodiments, and its implementation principles and technical effects are similar, and will not be repeated here.
本领域普通技术人员可以理解：实现上述各方法实施例的全部或部分步骤可以通过程序指令相关的硬件来完成。前述的程序可以存储于一计算机可读取存储介质中。该程序在执行时，执行包括上述各方法实施例的步骤；而前述的存储介质包括：ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。Those of ordinary skill in the art can understand that all or part of the steps for implementing the above method embodiments can be completed by program instructions and related hardware. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above-mentioned method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other various media that can store program codes.
最后应说明的是：以上各实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述各实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分或者全部技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的范围。Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. scope.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410602609.6ACN104320837B (en) | 2014-10-31 | 2014-10-31 | The power-economizing method and device of wireless network |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410602609.6ACN104320837B (en) | 2014-10-31 | 2014-10-31 | The power-economizing method and device of wireless network |
| Publication Number | Publication Date |
|---|---|
| CN104320837A CN104320837A (en) | 2015-01-28 |
| CN104320837Btrue CN104320837B (en) | 2018-06-19 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410602609.6AActiveCN104320837B (en) | 2014-10-31 | 2014-10-31 | The power-economizing method and device of wireless network |
| Country | Link |
|---|---|
| CN (1) | CN104320837B (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9980218B2 (en)* | 2015-02-27 | 2018-05-22 | Huawei Technologies Canada Co., Ltd. | System and method for user terminal-aware cell switch-off |
| CN105263147A (en)* | 2015-11-25 | 2016-01-20 | 中国联合网络通信集团有限公司 | Base station regulation method and equipment |
| CN108337682B (en)* | 2018-01-30 | 2021-12-07 | 北京佰才邦技术股份有限公司 | Method and device for controlling base station to be started |
| CN113873618B (en)* | 2020-06-30 | 2023-11-03 | 中国移动通信集团吉林有限公司 | Base station energy-saving control method and system based on Internet of things |
| CN114157934B (en)* | 2021-12-01 | 2024-05-10 | 中国电信股份有限公司 | Service board card processing method, device, equipment and medium |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101459914A (en)* | 2008-12-31 | 2009-06-17 | 中山大学 | Wireless sensor network node coverage optimization method based on ant colony algorithm |
| CN103269511A (en)* | 2013-04-23 | 2013-08-28 | 北京邮电大学 | Energy saving method for wireless access network |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| ES2533715T3 (en)* | 2009-10-28 | 2015-04-14 | Nec Europe Ltd. | Method for energy management in a wireless radio network and corresponding wireless radio network |
| EP2519058B1 (en)* | 2011-04-29 | 2013-10-09 | Alcatel Lucent | Method for attaching a user terminal to a base station of a network |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101459914A (en)* | 2008-12-31 | 2009-06-17 | 中山大学 | Wireless sensor network node coverage optimization method based on ant colony algorithm |
| CN103269511A (en)* | 2013-04-23 | 2013-08-28 | 北京邮电大学 | Energy saving method for wireless access network |
| Publication number | Publication date |
|---|---|
| CN104320837A (en) | 2015-01-28 |
| Publication | Publication Date | Title |
|---|---|---|
| CN104320837B (en) | The power-economizing method and device of wireless network | |
| Blasco et al. | Learning-based optimization of cache content in a small cell base station | |
| Zhang et al. | Computation offloading considering fronthaul and backhaul in small-cell networks integrated with MEC | |
| Salem et al. | Reinforcement learning approach for advanced sleep modes management in 5G networks | |
| US9277497B2 (en) | Cell size optimization for energy savings in cellular networks with hybrid energy supplies | |
| CN103906076B (en) | A kind of method that distributed self-adaption adjusts small base station transmitting power bias | |
| CN105682109A (en) | Energy saving method and device | |
| CN102917441B (en) | Target network selection method on basis of particle swarm algorithm for multi-mode terminals | |
| CN111405646B (en) | Base station dormancy method based on Sarsa learning in heterogeneous cellular network | |
| US20240430793A1 (en) | Facilitating cell and carrier switch off for energy awareness in advanced communication networks | |
| WO2024093487A1 (en) | Training method for reinforcement learning model , electronic device, storage medium, and chip | |
| Piovesan et al. | Optimal direct load control of renewable powered small cells: A shortest path approach | |
| CN116307648A (en) | Substation multi-inspection robot inspection task assignment and traversal optimization method and system | |
| Wang et al. | An improved routing algorithm based on social link awareness in delay tolerant networks | |
| CN101895421A (en) | Communication resource allocating method | |
| CN102546230B (en) | Overlay-network topological optimization method in P2P (Peer-To-Peer) streaming media system | |
| CN115150923B (en) | A method and device for energy saving control of base station | |
| Fusco et al. | Finding green spots and turning the spectrum dial: Novel techniques for green mobile wireless networks | |
| Alsharoa et al. | An energy-efficient relaying scheme for internet of things communications | |
| Chen et al. | Base station power control strategy in ultra-dense networks via deep reinforcement learning | |
| CN102685806B (en) | Mobility load balancing method and equipment | |
| Yu et al. | An energy-aware network routing algorithm based on q-learning | |
| Elkawkagy et al. | Genetic Algorithm-Driven Joint Optimization of Task Offloading and Resource Allocation for Fairness-Aware Latency Minimization in Mobile Edge Computing | |
| Liang et al. | Bandwidth provisioning in cache-enabled software-defined mobile networks: A robust optimization approach | |
| CN117939586A (en) | Base station energy saving method, device and storage medium |
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |