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Academic Journal of Computing & Information Science, 2023, 6(6); doi: 10.25236/AJCIS.2023.060613.

Research on Improved PSO in Communication Site Planning

Author(s)

Yuesheng Huang

Corresponding Author:
Yuesheng Huang
Affiliation(s)

School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, Guangdong, 510665, China

Abstract

Aiming at the planning problem of mobile communication station location, this study first uses the base station distribution data to screen, and on this basis, establishes the objective function and constraint conditions of station number and station location positioning. Secondly, based on the basic particle swarm optimization algorithm and Yangwei particle swarm optimization algorithm, the original algorithm is optimized by adding inertia weight disturbance to obtain the optimal number of station sites and station location, and then the station location is clustered. It is concluded that the establishment of 455 macro base stations and 1902 micro base stations is the most suitable, and the weak coverage base stations are divided into 35 categories for management.

Keywords

Particle Swarm Optimization, Site Planning, Weak coverage points

Cite This Paper

Yuesheng Huang. Research on Improved PSO in Communication Site Planning. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 6: 84-89. https://doi.org/10.25236/AJCIS.2023.060613.

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