Deep reinforcement learning for physical layer security enhancement in energy harvesting based cognitive radio networks

Deep reinforcement learning for physical layer security enhancement in energy harvesting based cognitive radio networks

The paper studies the secrecy communication threatened by a single eavesdropper in Energy Harvesting (EH)-based cognitive radio networks, where both the Secure User (SU) and the jammer harvest, store, and utilize RF energy from the Primary Transmitter (PT). Our main goal is to optimize the time slot...

书目详细资料
Main Authors:	Lin, Ruiquan, Qiu, Hangding, Jiang, Weibin, Jiang, Zhenglong, Li, Zhili, Wang, Jun
其他作者:	School of Electrical and Electronic Engineering
格式:	Journal Article
语言:	English
出版:	2023
主题:	Engineering::Electrical and electronic engineering Cognitive Radio Network Energy Harvesting
在线阅读:	https://hdl.handle.net/10356/169461

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