Integrated sensing and communication (ISAC) systems have the issue of secrecy leakage when using the ISAC waveforms for sensing, thus posing a potential risk for eavesdropping. To address this problem, we propose to employ movable antennas (MAs) and reconfigurable intelligent surface (RIS) to enhance the physical layer security (PLS) performance of ISAC systems, where an eavesdropping target potentially wiretaps the signals transmitted by the base station (BS). To evaluate the synergistic performance gain provided by MAs and RIS, we formulate an optimization problem for maximizing the sum-rate of the users by jointly optimizing the transmit/receive beamformers of the BS, the reflection coefficients of the RIS, and the positions of MAs at communication users, subject to a minimum communication rate requirement for each user, a minimum radar sensing requirement, and a maximum secrecy leakage to the eavesdropping target. To solve this non-convex problem with highly coupled variables, a two-layer penalty-based algorithm is developed by updating the penalty parameter in the outer-layer iterations to achieve a trade-off between the optimality and feasibility of the solution. In the inner-layer iterations, the auxiliary variables are first obtained with semi-closed-form solutions using Lagrange duality. Then, the receive beamformer filter at the BS is optimized by solving a Rayleigh-quotient subproblem. Subsequently, the transmit beamformer matrix is obtained by solving a convex subproblem. Finally, the majorization-minimization (MM) algorithm is employed to optimize the RIS reflection coefficients and the positions of MAs. Extensive simulation results validate the considerable benefits of the proposed MAs-aided RIS-ISAC systems in enhancing security performance compared to traditional fixed position antenna (FPA)-based systems.
Xinjiang University（新疆大学）；Dongguan University of Technology（东莞理工学院）；Chongqing University of Posts and Telecommunications（重庆邮电大学）；Tsinghua University（清华大学）；University of Science and Technology Beijing（北京科技大学）
Movable Subarray-Aided ISAC in Hybrid Near-Far Field Channels
Wireless and Computing Research Institute, ZTE Corporation（中兴通讯无线与计算研究院）；State Key Laboratory of Environment Characteristics and Effects for Near-space, Beijing Institute of Technology（北京近空环境特性及效应全国重点实验室）；Department of Electronic Engineering, Shanghai Jiao Tong University（上海交通大学电子工程系）
Weighted Sum Rate Optimization for Movable Antenna Enabled Near-Field ISAC
Institute of Communications Engineering, National Sun Yat-sen University（国立中山大学通信工程研究所）；School of Electrical and Electronic Engineering, University College Dublin（都柏林大学电气与电子工程学院）
Movable Antenna for Integrating Near-field Channel Estimation and Localization
Yangtze Delta Region Academy, BIT (Jiaxing)（北京理工大学长三角研究院（嘉兴））；Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology（北京理工大学前沿交叉科学研究院）；School of Electronic and Information Engineering, Beihang University（北京航空航天大学电子信息工程学院）；State Key Laboratory of CNS/ATM（交通运行控制国家实验室）；MIIT Key Laboratory of Complex-Field Intelligent Sensing（工业和信息化部复杂环境智能感知重点实验室）；Advanced Technology Research Institute, BIT (Jinan)（北京理工大学济南先进技术研究院）；Department of Electrical and Computer Engineering, National University of Singapore（新加坡国立大学电气与计算机工程系）
Dual Target-Mounted RISs-Assisted ISAC Against Eavesdropping and Malicious Interference
Artificial Intelligence and 6G Laboratory (6GEN. LAB.), Turkcell Iletisim Hizmetleri Inc.（Turkcell通信服务公司人工智能与6G实验室）；Communications and Signal Processing Research (HİSAR) Lab., TÜBİTAK-BİLGEM（TÜBİTAK-BİLGEM通信与信号处理研究实验室）；Department of Electrical and Electronics Engineering, Koc University（罗切斯特大学电气与电子工程系）；Department of Electrical Engineering, Tampere University（坦佩雷大学电气工程系）；Electronics and Communication Department, Istanbul Technical University（伊斯坦布尔理工大学电子与通信系）
Sum Rate optimization for RIS-Aided RSMA system with Movable Antenna
School of Information Science and Engineering, Southeast University（东南大学信息科学与工程学院）；National Mobile Communications Research Laboratory, Southeast University（东南大学移动通信国家重点实验室）
RIS-Aided Cooperative ISAC Network for Imaging-Based Low-Altitude Surveillance
Southeast University（东南大学）；National Mobile Communications Research Laboratory, Southeast University（东南大学国家移动通信实验室）；Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University（东南大学教育部复杂工程测控重点实验室）；Frontiers Science Center for Mobile Information Communication and Security, Southeast University（东南大学移动信息通信与安全前沿科学中心）
Joint Precoding and Phase-Shift Optimization for Beyond-Diagonal RIS-Aided ISAC System
School of Information Science and Engineering, Shandong University（山东大学信息科学与工程学院）；National Mobile Communications Research Laboratory, Southeast University（东南大学移动通信国家重点实验室）
Joint Active and Passive Beamforming with Sensing-Assisted Discrete Phase Shifts for Dual-RIS ISAC Systems
Chongqing University of Posts and Telecommunications（重庆邮电大学）；National Mobile Communications Research Laboratory, Southeast University（东南大学移动通信国家重点实验室）；University of Macau（澳门大学）
Antenna Orientation Optimization for Rotatable Antenna-Enabled ISAC Systems
School of Microelectronics, South China University of Technology（华南理工大学微电子学院）；School of Information Engineering, Guangdong University of Technology（广东工业大学信息工程学院）
Sensing-Assisted Secure Communication in MA-Aided ISAC: CRB Analysis and Robust Design
School of Information Engineering, Guangdong University of Technology（广东工业大学信息工程学院）；Department of Electronic Engineering, Shanghai Jiao Tong University（上海交通大学电子工程系）；Department of Electrical and Computer Engineering, National University of Singapore（新加坡国立大学电气与计算机工程系）
本文提出一种基于 MA 有帮助的 ISAC 系统的传感辅助安全通信方案，通过优化 MA 位置以提高传感精度，并利用 CRB 分析和鲁棒设计提升保密率。
