Deep Reinforcement Learning for Physical Layer Security Enhancement in Energy Harvesting Based Cognitive Radio Networks.

Lin, Ruiquan; Qiu, Hangding; Jiang, Weibin; Jiang, Zhenglong; Li, Zhili; Wang, Jun

Lin, Ruiquan; Qiu, Hangding; Jiang, Weibin; Jiang, Zhenglong; Li, Zhili; Wang, Jun.

Afiliación

Lin R; College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Qiu H; College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Jiang W; College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Jiang Z; College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Li Z; College of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Wang J; College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.

Sensors (Basel) ; 23(2)2023 Jan 10.

Article en En | MEDLINE | ID: mdl-36679601

Asunto(s)

Comunicación; Asignación de Recursos; Fenómenos Físicos; Simulación por Computador; Cognición

Palabras clave

cognitive radio network; deep reinforcement learning; energy harvesting; physical layer security

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Comunicación / Asignación de Recursos Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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