Particle swarm algorithm-based analysis of signal base station siting and signal coverage problems
Jisheng Li, Xun Luo · 2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) · 2022
In this paper, based on particle swarm optimization algorithm, the mathematical model is established, and the problem of location selection and signal coverage of base station is studied. Firstly, pSO is used to preprocess base station location points, and then the improved algorithm is applied to mobile communication base station location optimization to get the coordinates of the selected site and the type of base station selected for each site. Finally, a genetic algorithm-based hierarchical area coverage optimization algorithm (GACOA) is proposed to obtain the results of optimal site and sector Angle and the proportion of total traffic of weak coverage points.