基于聚类算法的站址规划和区域聚类  

Station Site Planning and Area Clustering Based on Clustering Algorithm

作　　者：周树涛 苏俊玉 ZHOU Shutao;SU Junyu(College of Mathematics and Computer,Guangdong Ocean University,Zhanjiang Guangdong 524088)

机构地区：[1]广东海洋大学数学与计算机学院,广东湛江524088

出　　处：《中国科技纵横》2023年第13期85-87,共3页China Science & Technology Overview

摘　　要：随着5G技术的快速发展,对基站建设的需求越来越大,移动通信网络的规划特别是站址选择难度越来越大,因此基站站点的布局规划尤为重要。为了探究最优基站规划,分析弱覆盖点与基站的几何距离关系,并在基站建设种类的判断下,找出使弱覆盖点总业务量达到90%的最优建设基站群,对弱覆盖点群进行合理的聚类。With the rapid development of 5G,the demand for base station construction is increasing,and the planning of mobile communication networks,especially the selection of station sites,is becoming more and more difficult,so the layout planning of base station sites is particularly important.In order to explore the optimal base station planning,through the geometric distance relationship between weak coverage points and base stations,and under the judgment of the types of base station construction,the optimal construction base station cluster that makes the total service volume of weak coverage points reach 90%is found.And a reasonable clustering of weak coverage point clusters is carried out.

关 键 词：最优基站规划 插值优化 聚类算法 

分 类 号：TN929.5[电子电信—通信与信息系统]