基于混合粒子群算法的5G无线网络覆盖规划研究

Research on 5G Wireless Network Coverage Planning Based on Hybrid Particle Swarm Optimization Algorithm

在考虑传播路径损耗的情况下,分别利用差分进化算法、标准粒子群算法和混合粒子群算法,求解室内5G小基站的最佳数量和最优部署位置,再利用连续波测试原理检验基站部署方案的性能。结果显示,利用混合粒子群算法求解的无线网络覆盖规划性能最佳。

Considering the propagation path loss,the differential evolution algorithm,the standard particle swarm optimization algorithm and the hybrid particle swarm optimization algorithm are respectively used to solve the optimal number and optimal deployment location of indoor 5G small base stations.Then,the continuous wave test principle is used to test the performance of the base station deployment scheme.The results show that the coverage planning scheme solved by the hybrid particle swarm optimization algorithm has the strongest performance.