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

• المؤلفون الرئيسيون: Lin, Ruiquan, Qiu, Hangding, Jiang, Weibin, Jiang, Zhenglong, Li, Zhili, Wang, Jun
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Cognitive Radio Network; Energy Harvesting
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/169461
• المؤسسة: 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...