Truly Distributed Multicell Multi-Band Multiuser MIMO by Synergizing Game Theory and Deep Learning-Reference-Cited by-同舟云学术

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Truly Distributed Multicell Multi-Band Multiuser MIMO by Synergizing Game Theory and Deep Learning

Published:2021 Issue: Volume:9 Page:30347-30358
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wong Kai-Kit,Liu Guochen,Cun Wenjing,Zhang Wenkai,Zhao Mingming,Zheng Zhongbin

Funder

Engineering and Physical Sciences Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09354637.pdf?arnumber=9354637

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. A Learning-only Method for Multi-Cell Multi-User MIMO Sum Rate Maximization;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

2. Applications of Game Theory in Deep Neural Networks;SpringerBriefs in Computer Science;2024

3. Access Point Clustering in Cell-Free Massive MIMO Using Conventional and Federated Multi-Agent Reinforcement Learning;IEEE Transactions on Machine Learning in Communications and Networking;2023

4. Effects of different algorithms, number of users and frequency channel allocation on fractional frequency reuse performance;2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE);2022-08

5. Multiuser Scheduling with Enhanced Greedy Techniques for Multicell and Cell-Free Massive MIMO Systems;2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring);2022-06

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