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

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

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...

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書目詳細資料
Main Authors:	Zhang, Yichi, Lu, Yang, Zhang, Ruichen, Ai, Bo, Niyato, Dusit
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering Array Signal Processing Energy Efficiency
在線閱讀:	https://hdl.handle.net/10356/170813
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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