5G Mobile Communication Network Site Planning And Regional Clustering Problems

The location and planning of base stations, which are related to the quality of communication services and the construction cost of base stations, are highlights of widespread concern in the field of communication. Based on the analysis of existing base station locations of the 5G mobile communication network, the article adopts the immune genetic algorithm and DBSCAN algorithm to mathematically model and analyze the types and locations of new base stations. The base station locations are reasonably planned to achieve the optimization of cost and coverage conditions. Clustering analysis of different weak coverage areas is done to realize the partition management of different weak coverage areas, which makes it possible to better solve the weak coverage problem.