摘要
针对新一代5G通信基站的建设及其站址规划问题,本文提出了一种基于粒子群优化算法与模拟退火算法的动态规划模型的站址规划方法。该模型考虑了基站覆盖半径、基站类型以及信号覆盖范围等因素,并利用广东湛江地区原有的基站业务数据来进行建模。实验结果表明,本文提出的粒子群优化算法与模拟退火算法可以有效地对地区的基站选址进行规划,并对实际的基站建设提供一定程度的参考。
Aiming at the construction and site planning of the new generation of 5G communication base sta-tions, this paper proposes a site planning method based on the dynamic programming model of particle swarm optimization algorithm and simulated annealing algorithm. The model CONSIDERS THE base station coverage radius, base station type, signal coverage range and other factors, and uses the original base station service data in Zhanjiang, Guangdong Province to model. The experi-mental results show that the proposed particle swarm optimization algorithm and simulated an-nealing algorithm can effectively plan the location of the base station in the ground-to-ground area, and provide a certain degree of reference for the actual base station construction.
出处
《应用数学进展》
2022年第11期8085-8093,共9页
Advances in Applied Mathematics
