[BS-3] 新しいネットワークトポロジーを実現する次世代無線通信技術

[BS-3-9] K-Means-Aided Particle Swarm Optimization for Antenna Control in Multi-Cell HAPS System

^○Wei Dai, Siyuan Yang, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.)

この講演は本会「学術奨励賞受賞候補者」の資格対象です。

Keywords:HAPS、cell configuration optimization、K-means clustering、particle swarm optimization、beamforming

High Altitude Platform Stations (HAPS) are considered a solution for providing ultrawide coverage areas and disaster-resilient communication networks. To prevent UEs from suffering network outages and distribute throughput as evenly as possible, HAPS uses beamforming techniques to dynamically control the beams to configure cells according to the UE distribution. In this research, we propose a K-means-aided particle swarm optimization (PSO) method to find the antenna parameters that can configure cells to minimize low throughput UEs. We run simulations with realistic UE distributions in some cities. The results show that the proposed algorithm can reduce low throughput UEs with low complexity.