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Sum Rate Optimization for Multi-IRS-Aided Multi-BS Communication System Based on Multi-Agent
Maha Fathy,
Zesong Fei
,
Jing Guo
*
, Mohamed Salah Abood
*
此作品的通讯作者
信息与电子学院
Beijing Institute of Technology
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Engineering
Communication System
100%
Basestation
100%
Intelligent Reflecting Surface
100%
Simulation Result
20%
Optimization Method
20%
Applicability
20%
Optimisation Problem
20%
Energy Efficiency
20%
Energy Conservation
20%
Reinforcement Learning
20%
Spectral Efficiency
20%
Beamforming
20%
Phase Shift
20%
Cooperative Multi
20%
Scale Network
20%
Large-Scale Systems
20%
Surface Phase
20%
Computer Science
multi agent
100%
Reflecting Surface
100%
sum rate
100%
Wireless Networks
40%
Optimization Problem
20%
Dynamic Environment
20%
Deep Reinforcement Learning
20%
Multiple Base Station
20%
Spectral Efficiency
20%
Energy Efficiency
20%
Decision Problem
20%
Multi-Agent Deep Reinforcement Learning
20%
Chemical Engineering
Reinforcement Learning
100%