Multi-Agent Deep Reinforcement Learning Based Downlink Beamforming in Heterogeneous Networks-Reference-Cited by-同舟云学术

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Multi-Agent Deep Reinforcement Learning Based Downlink Beamforming in Heterogeneous Networks

Published:2022 Issue: Volume: Page:1-1
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Zhang Zitian¹^ORCID,Hou Jinbo²,Chu Xiaoli²^ORCID,Zhou Haibo³^ORCID,Wei Guiyi¹^ORCID,Zhang Jie²^ORCID

Affiliation:

1. School of Information and Electronic Engineering, Zhejiang Gongshang University, China

2. Department of Electronic and Electrical Engineering, The University of Sheffield, UK

3. School of Electronic Science and Engineering, Nanjing University, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/4656680/09968278.pdf?arnumber=9968278

Cited by 2 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. From 5G to 6G Networks: A Survey on AI-Based Jamming and Interference Detection and Mitigation;IEEE Open Journal of the Communications Society;2024

2. On Learning Generalized Wireless MAC Communication Protocols via a Feasible Multi-Agent Reinforcement Learning Framework;IEEE Transactions on Machine Learning in Communications and Networking;2024

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