Reinforcement learning-based dynamic band and channel selection in cognitive radio ad-hoc networks

Reinforcement learning-based dynamic band and channel selection in cognitive radio ad-hoc networks

Abstract In cognitive radio (CR) ad-hoc network, the characteristics of the frequency resources that vary with the time and geographical location need to be considered in order to efficiently use them. Environmental statistics, such as an available transmission opportunity and data rate for each cha...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron:	Sung-Jeen Jang, Chul-Hee Han, Kwang-Eog Lee, Sang-Jo Yoo
Fformat:	Erthygl
Iaith:	English
Cyhoeddwyd:	SpringerOpen 2019-05-01
Cyfres:	EURASIP Journal on Wireless Communications and Networking
Pynciau:	Reinforcement learning Cognitive radio Ad-hoc network Q-learning Fairness
Mynediad Ar-lein:	http://link.springer.com/article/10.1186/s13638-019-1433-1

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