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An Artificial-noise Based Approach for the Secrecy Rate Maximization of MISO VLC Wiretap Channel with Multi-Eves
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
doi:10.1109/access.2020.3046664
fatcat:uy3wvvqdmffgdpux3jpji2bjpm