Deep Reinforcement Learning for Energy Efficiency Maximization in Cache-Enabled Cell-Free Massive MIMO Networks: Single- and Multi-Agent Approaches
Author:
Affiliation:
1. Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan
2. MOCaRL Lab, Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
Funder
National Science and Technology Council, Taiwan
Qualcomm Technologies, Inc.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/10230043/10076913.pdf?arnumber=10076913
Reference50 articles.
1. User Association in Massive MIMO HetNets
2. User Association in Cloud RANs with Massive MIMO
3. Millimeter Wave Cell-Free Massive MIMO Systems: Joint Beamforming and AP-User Association
4. Joint Beamforming and User Association Scheme for Full-Dimension Massive MIMO Networks
5. User Association in 5G Networks: A Survey and an Outlook
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Comparative Study of Clustering Algorithms for Profiling Researchers in Universities Through Google Scholar;2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI);2024-04-13
2. Learning-Based Joint User Association and Cache Replacement for Cache-Enabled Cloud RAN;IEEE Open Journal of the Communications Society;2024
3. Cluster Content Caching: A Deep Reinforcement Learning Approach to Improve Energy Efficiency in Cell-Free Massive Multiple-Input Multiple-Output Networks;Sensors;2023-10-07
4. Joint Access Points-User Association and Caching Placement Strategy for Cell-Free Massive MIMO Systems based on Soft Actor-Critic Algorithm;IEEE Communications Letters;2023
5. An Architecture for AoI and Cache Hybrid Multicast/Unicast/D2D With Cell-Free Massive MIMO Systems;IEEE Access;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3