Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access

Published:2023-08 Issue:8 Volume:22 Page:5337-5348
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Chang Hao-Hsuan¹^ORCID,Song Yifei¹^ORCID,Doan Thinh T.¹,Liu Lingjia¹^ORCID

Affiliation:

1. Bradley Department of Electrical and Computer Engineering, Wireless@Virginia Tech, Virginia Tech, Blacksburg, VA, USA

Funder

U.S. National Science Foundation

Commonwealth Cyber Initiative, an Investment in the Advancement of Cyber Research and Development, Innovation, and Workforce Development

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

https://ieeexplore.ieee.org/ielam/7693/10214970/10014665-aam.pdf

Reference49 articles.

1. Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Cellular Networks

2. A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing

3. Multi-Agent Deep Reinforcement Learning for Computation Offloading and Interference Coordination in Small Cell Networks

4. Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks

5. Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning

Cited by 6 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. Resource allocation optimization for effective vehicle network communications using multi-agent deep reinforcement learning;Journal of Dynamics and Games;2024

2. A Multi-Agent Reinforcement Learning Method for Omnidirectional Walking of Bipedal Robots;Biomimetics;2023-12-16

3. Communication-Efficient Allocation of Multiple Indivisible Resources in a Federated Multi-Agent System;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

4. OpenAI dApp: An Open AI Platform for Distributed Federated Reinforcement Learning Apps in O-RAN;2023 IEEE Future Networks World Forum (FNWF);2023-11-13

5. Intelligent Decision-Based Edge Server Sleep for Green Computing in MEC-Enabled IoV Networks;IEEE Transactions on Intelligent Vehicles;2023

同舟云学术

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