基于改进多目标遗传算法的5G基站选址布局研究

RESEARCH ON SITE LOCATION OF 5G BASE STATION BASED ON IMMUNOGENIC ALGORITHM

5G基站的建设是5G产业链中十分重要的一环。对于运营商而言,基站的选址规划会直接影响5G网的信号质量和使用效率。针对基站选址规划不合理的问题,本文考虑了不同区域基站覆盖范围不同和网络业务量不同的特点,以基站建设成本最小、面积覆盖率和业务覆盖率最大为优化目标,建立了5G基站选址优化模型,使用改进的NSGA-Ⅱ算法对模型进行求解。仿真结果表明,该算法有效解决了基站选址问题,并且具有速度快、效率高、不易陷入局部最优解等优势。

The construction of 5G base stations is a very important link in the 5G industry chain.For operators,the site selection and planning of base stations will directly affect the signal quality and utilization efficiency of 5G networks.In view of the problem of unreasonable base station site planning,this paper considers the characteristics of different base station coverage ranges and network business volumes in different regions,and establishes the 5G base station site optimization model with the optimization objectives of minimum base station construction cost,maximum area coverage and maximum business coverage,and uses the improved NSGA-Ⅱalgorithm to solve the model.The Simulation results show that the proposed algorithm effectively solves the base station location,and has the advantages of fast speed,high efficiency,and being less prone to getting stuck in local optima.