Cooperative Multi-Agent Reinforcement-Learning-Based Distributed Dynamic Spectrum Access in Cognitive Radio Networks

With the development of wireless communication and Internet of Things (IoT), there are massive wireless devices that need to share the limited spectrum resources. Dynamic spectrum access (DSA) is a promising paradigm to remedy the problem of inefficient spectrum utilization brought upon by the histo...

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Bibliographic Details
Published in:	IEEE internet of things journal Vol. 9; no. 19; pp. 19477 - 19488
Main Authors:	Tan, Xiang, Zhou, Li, Wang, Haijun, Sun, Yuli, Zhao, Haitao, Seet, Boon-Chong, Wei, Jibo, Leung, Victor C. M.
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Cognitive radio Cognitive radio networks Collision rates Command and control cooperative game decentralized partially observable Markov decision process (Dec-POMDP) deep recurrent <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Q -network (DRQN) dynamic spectrum access (DSA) Games Internet of Things Machine learning Markov game Markov processes multi-agent reinforcement learning (MARL) Multiagent systems Radio networks Reinforcement learning Spectrum allocation Wireless communication Wireless communications Wireless sensor networks
ISSN:	2327-4662, 2327-4662
Online Access:	Get full text
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