Deep reinforcement learning for secrecy energy efficiency maximization in RIS-assisted networks

• المؤلفون الرئيسيون: Zhang, Yichi, Lu, Yang, Zhang, Ruichen, Ai, Bo, Niyato, Dusit
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Array Signal Processing; Energy Efficiency
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/170813

This paper investigates the deep reinforcement learning (DRL) for maximization of the secrecy energy efficiency (SEE) in reconfigurable intelligent surface (RIS)-assisted networks. An SEE maximization problem is formulated under constraints of the rate requirement of each (legitimate) user, the powe...