Physical Layer Security in NOMA-Based VLC Systems With Optical Intelligent Reflecting Surface: A Max-Min Secrecy Data Rate Perspective

• Published in: IEEE internet of things journal Vol. 12; no. 6; pp. 7180 - 7194
• Main Authors: Liu, Zehao, Yang, Fang, Sun, Shiyuan, Song, Jian, Han, Zhu
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 15.03.2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Automation; Constraints; Decoding; Eavesdropping; Internet of Things; MISO communication; NOMA; Nonorthogonal multiple access; Nonorthogonal multiple access (NOMA); Occlusion; optical intelligent reflecting surface (OIRS); Optical receivers; Optical reflection; Optical transmitters; Optical wireless; Physical layer security; physical layer security (PLS); Reconfigurable intelligent surfaces; Resource management; Security; semidefinite relaxation (SDR); successive convex approximation (SCA); Visible light communication; visible light communication (VLC); Wireless communications
• ISSN: 2327-4662; 2327-4662
• DOI: 10.1109/JIOT.2024.3493858

Optical intelligent reflecting surface (OIRS) is a promising technology in visible light communications (VLCs), which can help VLC overcome the shortcoming of being susceptible to occlusion. It is shown that OIRS has many advantages for nonorthogonal multiple access (NOMA)-based VLC due to its ability to reconfigure optical wireless channels. In this article, we propose an effective OIRS-aided physical layer security (PLS) scheme for NOMA-based VLC networks against multiple eavesdroppers (Eves). By exploiting artificial noise (AN) to jam Eves, the maximization problem of the minimum achievable secrecy data rate is investigated, subject to successive interference cancellation (SIC) decoding conditions and OIRS constraints. Specifically, the original problem is decomposed into the power allocation and OIRS configuration subproblems by a block coordinate descent (BCD) algorithm. Moreover, the semi-definite relaxation and successive convex approximation are employed to solve the subproblems, after which a stochastic probability assignment method is adopted for the integer OIRS constraint. Finally, simulation results demonstrate that AN can enhance the system performance in most scenarios, and the minimum achievable secrecy data rate can be significantly improved by the proposed algorithm, demonstrating the potential of OIRS for enhancing PLS in optical wireless communications.