Biblio

Filters: Author is Yang, Zhaohui  [Clear All Filters]
2022-05-10
Xu, Zheng, Chen, Ming, Chen, Mingzhe, Yang, Zhaohui, Cang, Yihan, Poor, H. Vincent.  2021.  Physical Layer Security Optimization for MIMO Enabled Visible Light Communication Networks. 2021 IEEE Global Communications Conference (GLOBECOM). :1–6.
This paper investigates the optimization of physical layer security in multiple-input multiple-output (MIMO) enabled visible light communication (VLC) networks. In the considered model, one transmitter equipped with light-emitting diodes (LEDs) intends to send confidential messages to legitimate users while one eavesdropper attempts to eavesdrop on the communication between the transmitter and legitimate users. This security problem is formulated as an optimization problem whose goal is to minimize the sum mean-square-error (MSE) of all legitimate users while meeting the MSE requirement of the eavesdropper thus ensuring the security. To solve this problem, the original optimization problem is first transformed to a convex problem using successive convex approximation. An iterative algorithm with low complexity is proposed to solve this optimization problem. Simulation results show that the proposed algorithm can reduce the sum MSE of legitimate users by up to 40% compared to a conventional zero forcing scheme.
Ben, Yanglin, Chen, Ming, Cao, Binghao, Yang, Zhaohui, Li, Zhiyang, Cang, Yihan, Xu, Zheng.  2021.  On Secrecy Sum-Rate of Artificial-Noise-Aided Multi-user Visible Light Communication Systems. 2021 IEEE International Conference on Communications Workshops (ICC Workshops). :1–6.
Recently, the physical layer security (PLS) is becoming an important research area for visible light communication (VLC) systems. In this paper, the secrecy rate performance is investigated for an indoor multi-user visible light communication (VLC) system using artificial noise (AN). In the considered model, all users simultaneously communicate with the legitimate receiver under wiretap channels. The legitimate receiver uses the minimum mean squared error (MMSE) equalizer to detect the received signals. Both lower bound and upper bound of the secrecy rate are obtained for the case that users' signals are uniformly distributed. Simulation results verify the theoretical findings and show the system secrecy rate performance for various positions of illegal eavesdropper.