Secure Communication in Dynamic RDARS-Driven Systems

2025-01-18

AI Summary

To address the challenges of low secrecy rate and highly time-varying channels in dynamic reconfigurable distributed antenna and reflecting surface (RDARS) systems, this paper proposes a joint optimization framework for active beamforming, intelligent reflecting coefficients, and channel-aware mode selection. We first establish a novel RDARS security architecture integrating dynamic mode selection. To tackle the non-convexity arising from binary variables and cardinality constraints, we design an alternating optimization algorithm leveraging penalty functions, fractional programming, and successive convex approximation (SCA). Simulation results demonstrate that the proposed method significantly improves secrecy rate over state-of-the-art RIS-based schemes, while exhibiting robustness and fast convergence under multi-user dynamic channel conditions.

Technology Category

• Search and Optimization: Mixed Discrete/Continuous Search
• Intelligent Robots: Learning & Optimization for ROB
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization

Application Category

• Security and Privacy: Large-scale security measurements
• User Modeling, Personalization and Recommendation: Attacks and countermeasures in recommendation systems
• Search and Retrieval-Augmented AI: Retrieval-Augmented Generation (RAG) and multi-modal RAG

Abstract

In this letter, we investigate a dynamic reconfigurable distributed antenna and reflection surface (RDARS)-driven secure communication system, where the working mode of the RDARS can be flexibly configured. We aim to maximize the secrecy rate by jointly designing the active beamforming vectors, reflection coefficients, and the channel-aware mode selection matrix. To address the non-convex binary and cardinality constraints introduced by dynamic mode selection, we propose an efficient alternating optimization (AO) framework that employs penalty-based fractional programming (FP) and successive convex approximation (SCA) transformations. Simulation results demonstrate the potential of RDARS in enhancing the secrecy rate and show its superiority compared to existing reflection surface-based schemes.

Problem

• RDARS
• Dynamic Systems
• Information Security

Innovation

• Dynamic Antenna Adjustment
• Optimization Method
• Enhanced Communication Security