| 注册
首页|期刊导航|通信与信息网络学报(英文)|Local Observations-Based Energy-Efficient Multi-Cell Beamforming via Multi-Agent Reinforcement Learning

Local Observations-Based Energy-Efficient Multi-Cell Beamforming via Multi-Agent Reinforcement Learning

Kaiwen Yu Gang Wu Shaoqian Li Geoffrey Ye Li

通信与信息网络学报(英文)2022,Vol.7Issue(2):P.170-180,11.
通信与信息网络学报(英文)2022,Vol.7Issue(2):P.170-180,11.

Local Observations-Based Energy-Efficient Multi-Cell Beamforming via Multi-Agent Reinforcement Learning

Kaiwen Yu 1Gang Wu 1Shaoqian Li 1Geoffrey Ye Li2

作者信息

  • 1. The National Key Laboratory of Science and Technology on Communications,University of Electronic Science and Technology of China,Chengdu 611731,China
  • 2. Imperial College London.London SW72AZ,U.K.
  • 折叠

摘要

关键词

distributed beamforming/energy efficiency/deep reinforcement learning/interference-cooperation/POMDP

分类

信息技术与安全科学

引用本文复制引用

Kaiwen Yu,Gang Wu,Shaoqian Li,Geoffrey Ye Li..Local Observations-Based Energy-Efficient Multi-Cell Beamforming via Multi-Agent Reinforcement Learning[J].通信与信息网络学报(英文),2022,7(2):P.170-180,11.

基金项目

Fundamental Research Funds for the Central Universities(ZYGX2020ZB042)。 (ZYGX2020ZB042)

通信与信息网络学报(英文)

OACSCDEI

2096-1081

访问量0
|
下载量0
段落导航相关论文