一种基于改进粒子群的多小区天线联合优化算法  

An Optimization Algorithm for Multi-cell Antenna Based on Improved-PSO

作　　者：胡其美 曹苹 林侃 王邦[1] HU Qimei;CAO Ping;LIN Kan;WANG Bang(EIC of HUST,Wuhan 430074,China;NSB GCHN MS NCS Analytics Mobility,Shanghai 201206,China)

机构地区：[1]华中科技大学电信学院,湖北武汉430074 [2]上海诺基亚贝尔通信大中国区全球服务部,上海201206

出　　处：《移动通信》2020年第8期91-96,共6页Mobile Communications

摘　　要：针对基站天线参数调优问题,提出了一种用于在庞大离散空间中搜索最优解的优化算法,该算法借鉴了粒子群算法的基本概念,分为三个步骤。第一步为随机筛选,挑选出一批较为优秀的个体组成粒子群;第二步为大步长调节,通过大范围搜索提高寻优效率;第三步为小步长调节,在迭代时只做细微调节进行局部查找,最终能找到最优解。通过直接操作场强矩阵计算综合覆盖率,得到最佳覆盖率时对应的天线参数组合,从而给多小区联合调优提供指导。实验证明该算法能够在多小区联合优化中取得良好的效果。Aiming at the parameter tuning problem of base station antenna, this paper proposes an optimization algorithm for searching the optimal solution in the large discrete space. The algorithm borrows the basic concept of particle swarm algorithm and is divided into three steps. The first step is random selection, and a group of relatively good individuals are selected to form a particle group;the second step is the large-step adjustment, and the optimization efficiency is improved by a wide range search;the third step is the small-step adjustment to perform fine adjustments for local search and eventually find the optimal solution. The comprehensive coverage probability is calculated by directly operating the field intensity matrix, and the corresponding antenna parameter combination is obtained, thereby providing guidance for multi-cell joint tuning. Experiments show that the algorithm can achieve good results in multi-cell joint optimization.

关 键 词：最优解 天线参数 粒子群算法 

分 类 号：TN929.5[电子电信—通信与信息系统]