Research on Base Station Siting Method Based on 0-1 Planning Model and Immune Genetic Algorithm

Abstract

With the rapid development of 5G technology, the high bandwidth required for communication shows a growing trend. However, the coverage area of the original base station gradually decreases, resulting in the expansion of the weak coverage area, in order to guarantee the quality and reliability of the communication network, there is an urgent need to establish new base stations in the weak coverage area. In this paper, a 0-1 planning model is developed with base stations and weak coverage points as the core elements. In this model, we aim to minimize the cost, and also consider the distance limitation and coverage demand, in order to ensure the premise of service demand, through the immunogenetic algorithm to achieve the optimization of the base station site selection. Ultimately, we have visualized it with the help of MATLAB to fully present the effectiveness and practical application value of this base station siting scheme.