摘要
随着电力无线专网建设的不断深入,深度覆盖问题日益凸显。基站位置及数量的合理规划可满足大部分室外环境的信号覆盖,但仍有部分终端深处室内,需辅以适当的深度覆盖系统及优化策略。为了获得室内全覆盖、低成本、低辐射的无线网络,利用异构微蜂窝系统完成室内数据采集并上传基站,提出基于改进蝙蝠算法的深度覆盖优化策略。针对蝙蝠算法中个体缺乏交互、收敛速度与精度制约等问题,引入遗传算法对原有算法进行改进,以加强个体间的交互能力,利用信息交叉变异提高算法的搜索速度。仿真结果表明,该算法可有效优化多目标的室内无线网络规划。
With the continuous development of the electric wireless private network,the problem of deep coverage has become increasingly prominent.Reasonable location and number planning of the base stations can meet the signal coverage of most outdoor environments,but some of the terminals are in deep rooms.So it needs to be supplemented with appropriate depth coverage systems and optimization strategies.In order to obtain a full coverage,low cost and low radiation wireless network,this paper uses the heterogeneous femtocell system to complete the indoor data acquisition and upload it to the base station.In addition,an deep coverage optimization strategy based on the improved bat algorithm is proposed.There are some problems with the bat algorithm,such as lack of interaction between individuals,and the convergence speed and precision are mutually constrained.The genetic algorithm is introduced to improve the original algorithm to enhance the interaction ability,and the information crossover and mutation are used to improve the search speed.The simulation results show that the algorithm can effectively optimize multi-objective indoor wireless network planning.
作者
郭丹丹
宋继高
王炫中
王昕
王艳茹
GUO Dandan;SONG Jigao;WANG Xuanzhong;WANG Xin;WANG Yanru(State Grid Information&Telecommunication Group Beijing Zhongdian Feihua Communications Co.,Ltd.,Communication Technology Center,Beijing 100071,China)
出处
《供用电》
2019年第6期23-28,共6页
Distribution & Utilization
基金
国家电网有限公司科技项目“电力无线专网演进及4G、5G技术应用分析”(5700-201941235A-0-0-00)~~
关键词
改进蝙蝠算法
遗传算法
深度覆盖
异构微蜂窝
电力无线专网
improved bat algorithm
genetic algorithm
deep coverage
heterogeneous femtocell
electric wireless private network
