Channel Selection for Wi-Fi 7 Multi-Link Operation via Optimistic-Weighted VDN and Parallel Transfer Reinforcement Learning

Author:

Iturria-Rivera Pedro Enrique1,Chenier Marcel2,Herscovici Bernard2,Kantarci Burak1,Erol-Kantarci Melike1

Affiliation:

1. University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,Canada

2. NetExperience.,Ottawa,Canada

Funder

Mitacs

Publisher

IEEE

Reference18 articles.

1. Multi-agent actor-critic for mixed cooperative-competitive environments;lowe;Advances in neural information processing systems,2017

2. Is independent learning all you need in the starcraft multi-agent challenge?;de witt,2020

3. Weighted QMIX: Expanding Monotonic Value Function Factorisation;rashid;34th Conference on Neural Information Processing Systems (NeurIPS 2020),2020

4. Value-decomposition networks for cooperative multi-agent learning based on team reward;sunehag,2018

5. Multi-agent deep reinforcement learning: a survey

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1. Multi-Link Operation and Wireless Digital Twin to Support Enhanced Roaming in Next-Gen Wi-Fi;2024 IEEE 20th International Conference on Factory Communication Systems (WFCS);2024-04-17

2. Multi-Link Operation in IEEE802.11be Extremely High Throughput: A Survey;IEEE Access;2024

3. Cooperate or Not Cooperate: Transfer Learning With Multi-Armed Bandit for Spatial Reuse in Wi-Fi;IEEE Transactions on Machine Learning in Communications and Networking;2024

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