Joint relay and channel selection against mobile and smart jammer: A deep reinforcement learning approach

Abstract This paper investigates the joint relay and channel selection problem using a deep reinforcement learning (DRL) algorithm for cooperative communications in a dynamic jamming environment. The latest types of jammers include the mobile and smart jammer that contains multiple jamming patterns....

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Autores principales:	Hongcheng Yuan, Fei Song, Xiaojing Chu, Wen Li, Ximing Wang, Hao Han, Yuping Gong
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Wiley 2021-10-01
Colección:	IET Communications
Materias:	Markov processes Electromagnetic compatibility and interference Radio links and equipment Communications computing Reinforcement learning
Acceso en línea:	https://doi.org/10.1049/cmu2.12257
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