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

Ge Shi, Yong Li, Wei Cheng, Xiang Gao, Wenjie Zhang
2020 IEEE Access  
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
more » ... ximization (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. INDEX TERMS Artificial noise, physical layer security, secrecy rate maximization, visible light communication.
doi:10.1109/access.2020.3046664 fatcat:uy3wvvqdmffgdpux3jpji2bjpm