Encoded Jamming Secure Communication for RIS-Assisted and ISAC Systems

2025-10-06

AI Summary

Conventional Gaussian noise jamming in Integrated Sensing and Communication (ISAC) systems degrades legitimate reception, while Encoding Jamming (EJ) suffers from limited performance and lacks joint sensing-security modeling. Method: This work pioneers the integration of EJ into Reconfigurable Intelligent Surface (RIS)-assisted ISAC systems, proposing a unified framework for jointly optimizing RIS beamforming and EJ codebook design. A semi-definite relaxation combined with an alternating weighted-sum mean-square-error minimization algorithm is employed to explicitly characterize the Pareto boundary between secrecy rate and sensing mutual information. Contribution/Results: The proposed method significantly enhances secrecy rate across diverse channel conditions, quantifies and balances the intrinsic trade-off between communication security and sensing performance, mitigates legitimate-link degradation caused by noise jamming, and establishes a practical, co-designed paradigm for secure ISAC.

Technology Category

• Search and Optimization: Mixed Discrete/Continuous Search
• Intelligent Robots: Multimodal Perception & Sensor Fusion
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

• Security and Privacy: Applications of cryptography
• Search and Retrieval-Augmented AI: Retrieval-Augmented Generation (RAG) and multi-modal RAG
• Semantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMs

Abstract

This paper considers a cooperative jamming (CJ)-aided secure wireless communication system. Conventionally, the jammer transmits Gaussian noise (GN) to enhance security; however, the GN scheme also degrades the legitimate receiver's performance. Encoded jamming (EJ) mitigates this interference but does not always outperform GN under varying channel conditions. To address this limitation, we propose a joint optimization framework that integrates reconfigurable intelligent surface (RIS) with EJ to maximize the secrecy rate. In the multiple-input single-output (MISO) case, we adopt a semidefinite relaxation (SDR)-based alternating optimization method, while in the multiple-input multiple-output (MIMO) case, we develop an alternating optimization algorithm based on the weighted sum mean-square-error minimization (WMMSE) scheme. Furthermore, we are the first to incorporate EJ into an integrated sensing and communication (ISAC) system, characterizing the Pareto boundary between secrecy rate and sensing mutual information (MI) by solving the resulting joint optimization problem using a modified WMMSE-based algorithm. Simulation results show that the proposed schemes significantly outperform benchmark methods in secrecy rate across diverse channel conditions and clearly reveal the trade-off between security and sensing.

Problem

• Optimizing secrecy rate in RIS-assisted wireless communication with encoded jamming
• Enhancing security-performance trade-off in cooperative jamming systems
• Characterizing security-sensing trade-off in integrated communication systems

Innovation

• Integrates reconfigurable intelligent surface with encoded jamming
• Uses SDR-based alternating optimization for MISO systems
• Develops WMMSE algorithm for MIMO and ISAC integration