Intelligent Decentralized Multiple Access via Multi- Agent Deep Reinforcement Learning
Author:
Affiliation:
1. School of Electronic Information and Communications Huazhong University of Science and Technology,Wuhan,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10570463/10570502/10571310.pdf?arnumber=10571310
Reference12 articles.
1. LoRa, Alliance Std.;LoRaWAN L2 1.0.4 Specification,2020
2. 3GPP TS 37.213;Technical Specification Group Radio Access Network; Physical layer procedures for shared spectrum channel access, Version 16.4.0,2022
3. Carrier-Sense Multiple Access for Heterogeneous Wireless Networks Using Deep Reinforcement Learning
4. Non-Uniform Time-Step Deep Q-Network for Carrier-Sense Multiple Access in Heterogeneous Wireless Networks
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