
The paper proposes a data-driven resource allocation algorithm for IEEE 802.11be networks that maximizes network throughput while preserving proportional fairness among multi-link devices.


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optimizing-ieee-802-11be-network-throughput-and-fairness-with-multi-link-operation-and-access-point-coordination


Optimizing IEEE 802.11be Network Throughput and Fairness with Multi-Link Operation and Access Point Coordination


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The core message of this paper is to devise efficient decentralized policies that minimize both age of information (AoI) and estimation error in multi-hop wireless networks, while ensuring scalability through a graphical multi-agent reinforcement learning framework.


decentralized-reinforcement-learning-for-timely-estimation-in-multi-hop-wireless-networks


Decentralized Reinforcement Learning for Timely Estimation in Multi-Hop Wireless Networks
