MADRL-Based 3D Deployment and User Association of Cooperative mmWave Aerial Base Stations for Capacity Enhancement  

作　　者：ZHAO Yikun ZHOU Fanqin FENG Lei LI Wenjing YU Peng 

机构地区：[1]State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《Chinese Journal of Electronics》2023年第2期283-294,共12页电子学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(61971053).

摘　　要：Although millimeter-wave aerial base station(mAeBS)gains rich wireless capacity,it is technically difficult for deploying several mAeBSs to solve the surge of data traffic in hotspots when considering the amount of interference from neighboring mAeBS.This paper introduces coordinated multiple points transmission(CoMP)into the mAeBS-assisted network for capacity enhancement and designs a two-timescale approach for three-dimensional(3D)deployment and user association of cooperative mAeBSs.Specially,an affinity propagation clustering based mAeBS-user cooperative association scheme is conducted on a large timescale followed by modeling the capacity evaluation,and a deployment algorithm based on multi-agent(MA)deep deterministic policy gradient(MADDPG)is designed on the small timescale to obtain the 3D position of mAeBS in a distributed manner.Simulation results show that the proposed approach has significant throughput gains over conventional schemes without CoMP,and the MADDPG is more efficient than centralized deep reinforcement learning(DRL)algorithms in deriving the solution.

关 键 词：Aerial base station mmWave Capacity enhancement Cooperative communication Multiagent deep reinforcement learning(MADRL) 

分 类 号：TN929.5[电子电信—通信与信息系统] TP18[电子电信—信息与通信工程]