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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Veröffentlicht in:	IEEE internet of things journal Jg. 9; H. 19; S. 19477 - 19488
Hauptverfasser:	Tan, Xiang, Zhou, Li, Wang, Haijun, Sun, Yuli, Zhao, Haitao, Seet, Boon-Chong, Wei, Jibo, Leung, Victor C. M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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-Zugang:	Volltext
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