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Max-Min Fairness for IRS-Assisted Secure Two-Way Communications

2025/01/24 by Harindu Jayarathne, Jayarathne, Harindu, Tharindu Wickremasinghe +7 · 1 voice
Computer Science · Engineering · #Cryptography and Data Security #FOS: Computer and information sciences #Information Theory (cs.IT) #Wireless Communication Security Techniques #cs.IT #graph theory and CDMA systems

paper · pdf · doi:10.48550/arxiv.2501.14270

openalex publication_date 2025/01/24 · arxiv published 2025/01/24 · arxiv updated 2025/01/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper investigates an intelligent reflective surface (IRS) assisted secure multi-user two-way communication system. The aim of this paper is to enhance the physical layer security by optimizing the minimum secrecy-rate among all user-pairs in the presence of a malicious user. The optimization problem is converted into an alternating optimization problem consisting of two sub-problems. Transmit power optimization is handled using a fractional programming method, whereas IRS phase shift optimization is handled with semi-definite programming. The convergence of the proposed algorithm is investigated numerically. The performance gain in minimum secrecy-rate is quantified for four different user configurations in comparison to the baseline scheme. Results indicate a 3.6-fold gain in minimum secrecy rate over the baseline scheme when the IRS is positioned near a legitimate user, even when the malicious user is located close to the same legitimate user.

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