Multi-Agent Reinforcement Learning-Based Distributed Channel Access for Next Generation Wireless Networks
Author:
Affiliation:
1. Wireless Technology Lab, 2012 Laboratories, Huawei Technologies Company Ltd., Shenzhen, China
2. School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China
Funder
Key-Area Research and Development Program of Guangdong Province
Basic and Applied Basic Research Foundation of Guangdong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/49/9758075/09681886.pdf?arnumber=9681886
Reference37 articles.
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3. Q-learning
4. Towards Fair and Efficient Spectrum Sharing Between LTE and WiFi in Unlicensed Bands: Fairness-Constrained Throughput Maximization
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