A Deep Q-Network Approach to Optimize Spatial Reuse in WiFi Networks
Author:
Affiliation:
1. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/9805757/09740466.pdf?arnumber=9740466
Reference56 articles.
1. Learning-Based Spatial Reuse for WLANs With Early Identification of Interfering Transmitters
2. Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference
3. Intelligent MU-MIMO User Selection With Dynamic Link Adaptation in IEEE 802.11ax
4. Reinforcement Learning for Energy-Efficient Delay-Sensitive CSMA/CA Scheduling
5. An Energy Efficient Channel Bonding and Transmit Power Control Approach for WiFi Networks
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1. Beyond Wi-Fi 7: Spatial reuse through multi-AP coordination;Computer Networks;2024-02
2. Improving Spatial Reuse of Wireless LANs using Contextual Bandits;IEEE Transactions on Wireless Communications;2023
3. A Three-Tier Deep Learning-Based Channel Access Method for WiFi Networks;IEEE Transactions on Machine Learning in Communications and Networking;2023
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