A study of base station establishment site selection based on cluster analysis

In this paper, to address the site planning and area clustering problems of mobile communication networks, the K-mean clustering algorithm, linear programming, K-mean clustering model, single-objective planning model, and simulation model are established, and python is used to program the solution to obtain the optimal site coordinates of new base stations and base station types, the optimal main direction angle of base stations and the total business volume of weak coverage points covered by base stations, how to cut and divide the area so that The paper features a series of conclusions such as how to cut and divide the area to minimize the total time complexity of clustering. This paper features the analytical processing of data and the establishment and application of K-mean clustering model.