RIS-Assisted Physical Layer Key Generation and Transmit Power Minimization

被引:8
|
作者
Jin, Liang [1 ]
Xu, Xiaodong [1 ,2 ]
Han, Shujun [1 ]
Liu, Jinghang [1 ]
Meng, Rui [1 ]
Chen, Hao [2 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China
[2] Peng Cheng Lab, Shenzhen, Peoples R China
来源
2022 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) | 2022年
基金
中国博士后科学基金; 国家重点研发计划; 中国国家自然科学基金;
关键词
physical layer key generation; reconfigurable intelligent surface; physical layer security;
D O I
10.1109/WCNC51071.2022.9771815
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Key generation rate and bit disagreement ratio are two main indicators to evaluate the performance of physical layer key generation (PLKG). This work explores the key generation performance in reconfigurable intelligent surface (RIS)-assisted PLKG, where a concrete scheme of key generation is proposed. Specifically, we first deduce the key generation rate expression based on estimation theory in RIS-assisted PLKG. Then we optimize the RIS reflecting coefficients with instantaneous channel state information to maximize the key generation rate. Finally, aiming at minimizing transmit power while guaranteeing key generation rate target, we formulate a power minimization problem in RIS-assisted PLKG. An alternating optimization algorithm is applied to solve the non-convex mixed-integer nonlinear programming. Simulation results demonstrate that the key generation rate of the proposed scheme is up to 197.5% higher than the existing relay-assisted scheme, and we successfully reduce the required transmit power by at least 6.6 dBm than without power minimization scheme.
引用
收藏
页码:2065 / 2070
页数:6
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