An Artificial-Noise-Based Approach for the Secrecy Rate Maximization of MISO VLC Wiretap Channel With Multi-Eves

IEEE Access

Wei Cheng¹  Ge Shi¹  Wenjie Zhang¹  Xiang Gao²  Yong Li² 

[1] School of Electronics and Information, Northwestern Polytechnical University, Xi&x2019;an, China;

关键词: Artificial noise;    physical layer security;    secrecy rate maximization;    visible light communication;   

DOI  :  10.1109/ACCESS.2020.3046664

来源: DOAJ

【 摘 要 】

In this paper, we consider improving the secure performance of multiple-input single-output visible light communication channel in the presence of multiple eavesdroppers with multiple photodiodes. Our goal is to design an optimal artificial-noise (AN) aided transmission strategy to maximize the achievable secrecy rate subject to both sum power constraint and peak amplitude constraint. We consider a joint optimization of the transmit covariance and AN covariance for the non-convex secrecy rate maximization (SRM) problem. In order to solve it, the SRM problem is transformed into a series of single-variable semidefinite programming (SDP) problems without losing any optimality, and a one-dimensional search based algorithm is proposed to handle the converted problem, with polynomial complexity. By exploiting Karush-Kuhn-Tucker conditions of the problem, beamforming is found to be optimal for the confidential information transmission. Simulation results show the superior performance of the proposed AN-aided method compared with two other AN-aided methods and no AN-aided method.

【 授权许可】

Unknown