RIS-Assisted Simultaneous Legitimate Monitoring and Jamming for Industrial Wireless Networks
Likang Zhang, Qinghe Du, Yijing Ren, Xiao Tang, Maged Elkashlan, Zhu Han
TL;DR
This work tackles securing industrial wireless networks by enabling simultaneous legitimate monitoring (LM) and jamming (LJ) using a reconfigurable intelligent surface (RIS). It introduces a Block Coordinate Descent-Particle Swarm Optimization (BCD-PSO) framework to jointly optimize the RIS phase-shift matrix under the constraints that the suspicious transmitter-receiver link remains jammed (SINR at SR below $\\gamma_{SR,th}$) while the monitoring link achieves sufficient quality (LM SNR above $\\gamma_{M,th}$), thereby minimizing LJ power $P_J$. The proposed method decouples the problem into per-element optimizations, with a closed-form Jamming step and a PSO-driven Monitoring step, yielding robust performance across scenarios. Simulation results demonstrate that BCD-PSO reduces $P_J$, achieves near-100% successfully monitoring and jamming probabilities, and provides practical guidance on RIS placement and element count for industrial deployments.
Abstract
In this paper, we study reconfigurable intelligent surface (RIS)-assisted simultaneous legitimate monitoring and jamming techniques for industrial environments, so that egitimate monitor (LM) and legitimate jammers (LJs) can sustainably monitor and interfere with suspicious communications with minimum transmission power. Specifically, we propose a Block Coordinate Descent-Particle Swarm Optimization (BCD-PSO) based scheme to optimize RIS's phase shift matrix and minimize LJs' transmission power, while successfully jamming and stably monitoring unauthorized communications. Simulation results demonstrate that the proposed BCD-PSO can enhance the performances in terms of monitoring, resource utilization and robustness. Moreover, we effectively exam the best deployment of RIS towards diverse objectives.