基于K-Means++算法的网络基站选址分析
Analysis of Network Base Station Location Selection Based on K-Means++ Algorithm

本文主要研究5G通信基站的建设及其站址规划，针对现网弱覆盖区域的覆盖问题，综合考虑基站覆盖半径、基站类型以及信号覆盖范围等因素。采用K-means++聚类算法，建立站址选择模型，得出了新基站建立的最优方案。
This paper mainly focuses on the construction and site planning of 5G communication base stations. In response to the coverage issues in weak coverage areas of the current network, various factors such as the coverage radius of base stations, types of base stations, and signal coverage range are comprehensively considered. The K-means++ clustering algorithm is adopted to establish a site selection model, and the optimal plan for the establishment of new base stations is obtained.