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

• Main Authors: Lin, Ruiquan, Qiu, Hangding, Jiang, Weibin, Jiang, Zhenglong, Li, Zhili, Wang, Jun
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Electrical and electronic engineering; Cognitive Radio Network; Energy Harvesting
• Online Access: https://hdl.handle.net/10356/169461
• Institution: Nanyang Technological University

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...