Title: Encoded Jamming Secure Communication for RIS-Assisted and ISAC Systems Show Chinese title

Title: 编码干扰安全通信用于RIS辅助和ISAC系统

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. Show Chinese abstract

Abstract: 本文考虑了一个协作干扰（CJ）辅助的保密无线通信系统。传统上，干扰器发送高斯噪声（GN）以增强安全性；然而，GN方案也会降低合法接收机的性能。编码干扰（EJ）可以缓解这种干扰，但在不同的信道条件下并不总能优于GN。为了解决这一限制，我们提出了一种联合优化框架，将可重构智能表面（RIS）与EJ结合，以最大化保密速率。在多输入单输出（MISO）情况下，我们采用基于半定松弛（SDR）的交替优化方法，而在多输入多输出（MIMO）情况下，我们开发了一种基于加权和均方误差最小化（WMMSE）方案的交替优化算法。此外，我们首次将EJ引入集成感知与通信（ISAC）系统，通过使用改进的基于WMMSE的算法求解所得的联合优化问题，表征了保密速率与感知互信息（MI）之间的帕累托边界。仿真结果表明，所提出的方案在各种信道条件下显著优于基准方法，并清楚地揭示了安全性和感知之间的权衡。