基于粒子群算法的5G基站选址决策与优化研究  

Research on Location Decision and Optimization of 5G Base Station Based on Particle Swarm Optimization Algorithm

作　　者：王一蓉 陈常龙 于宙 WANG Yirong;CHEN Changlong;YU Zhou(Big Data Center of State Grid Corporation of China,Beijing 100052)

机构地区：[1]国家电网有限公司大数据中心,北京100052

出　　处：《工程数学学报》2024年第6期1170-1178,共9页Chinese Journal of Engineering Mathematics

基　　金：国家电网有限公司大数据中心科技项目(SGSJ0000FXJS2100087)。

摘　　要：随着5G通信时代到来,不同区域之间的通信需求大幅度上涨,为此基站建设的重要性不断提升。当前通信设施无法满足日益增长的远程通信需求,为了满足5G技术的要求,需要建设高质量的5G基站。在5G基站建设过程中,5G基站选址决策与优化具有非常重要的意义。为此,提出了一种基于粒子群算法的5G基站选址决策与优化方法。针对5G基站建设过程中因数据传输量庞大导致元启发式计算执行难度大的问题,以及5G关联发送的情况,综合考虑覆盖目标和通信质量目标,搭建了5G基站选址决策优化模型。粒子群算法通过初始化粒子群、评估适应度、更新个体最优和群体最优解、调整速度和位置以及迭代优化等步骤,得出了5G基站选址决策优化结果。实验结果表明,该方法能够有效优化5G基站的选址决策,可以在5G基站选址决策领域得到广泛应用,从而促进现代化通信技术的进一步发展。With the advent of the 5G communication era,the communication demand between different regions has risen significantly,so the importance of base station construction has been increasing.Current communication facilities can not meet the growing needs of remote communication,it is necessary to build high-quality 5G base stations to meet the requirements of 5G technology.In the process of 5G base station construction,5G base station location decision and optimization are of great significance.Therefore,this paper proposes a 5G base station location decision and optimization method based on the particle swarm optimization algorithm.In view of the difficulty of implementing meta-heuristic calculation due to the huge amount of factor transmission in the construction of 5G base stations,as well as the situation of 5G associated transmission,the optimization model of 5G base station location decision is built with comprehensive consideration of coverage objectives and communication quality objectives.By initializing particle swarm,evaluating fitness,updating individual optimal and group optimal solutions,adjusting speed and position,and iterative optimization,the particle swarm optimization algorithm obtains the optimization result of 5G base station location decision.The experimental results show that this method can effectively optimize the location decision of 5G base stations,and can be widely used in the field of 5G base station location decision,so as to promote the further development of modern communication technology.

关 键 词：5G网络规划 基站 仿真优化 粒子群优化 

分 类 号：TN91[电子电信—通信与信息系统]