Access Point Clustering in Cell-Free Massive MIMO Using Multi-Agent Reinforcement Learning
Author:
Affiliation:
1. University of Alberta,Department of Electrical and Computer Engineering,Edmonton,Canada
2. Huawei Technologies Canada Co. Ltd.,Ottawa,Canada
Funder
NSERC
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9977437/9977449/09977980.pdf?arnumber=9977980
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1. Clustering and Scheduling With Fairness Based on Information Rates for Cell-Free MIMO Networks;IEEE Wireless Communications Letters;2024-07
2. RL-Based High-Level Radio Unit Clustering and Distributed Unit Assignment in User-Centric Cell-free mMIMO for ORAN-Based 6G;ICC 2024 - IEEE International Conference on Communications;2024-06-09
3. On the Adaptive Modulation for User-Centric Cell-Free Massive MIMO Systems;IEEE Access;2024
4. 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
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