This paper investigates sensing, communication, security, and energy efficiency of the heterogeneous integrated sensing and communication networks under challenging operational conditions. We focus on scenarios in which communication performance, security, and sensing accuracy are degraded by interference, eavesdropping, and imperfect channel state information. To this end, we analyze communication and sensing signals within ISAC framework as well as the communication signals of a multicast network based on \emph{rate-splitting multiple access} (RSMA). Then, sensing signal-to-cluster-plus-noise ratio, communication rate, security rate, and \emph{security energy efficiency} (SEE) are evaluated. To simultaneously enhance these system performances, we propose a targeted optimization framework aimed at maximizing SEE. This framework characterizes the sensing-security trade-off by jointly optimizing the transmit \emph{beamforming} (BF) vectors and the echo BF vector to construct green interference using the echo signal, as well as common and private streams generated by RSMA. Particularly, the joint design improves the security rate and reduces power consumption, thereby enabling a higher SEE. Given the non-convex nature of the optimization problem, we present an alternative approach that leverages Taylor series expansion, majorization-minimization, semi-definite programming, and successive convex approximation techniques. Specifically, we decompose the original non-convex and intractable optimization problem into three simplified sub-optimization problems, which are iteratively solved using an alternating optimization strategy. Simulations provide comparisons with state-of-the-art schemes, highlighting the superior efficiency, robustness, and scalability of the proposed joint multi-BF optimization scheme based on RSMA and green interference in improving system performances.
Joint Beamforming and Phase Shifts Design for RIS-Enabled RSMA-ISAC Systems
School of Information Science and Engineering, Shandong University（山东大学信息科学与工程学院）；School of Computer and Communication Engineering, Northeastern University at Qinhuangdao（东北大学秦皇岛分校计算机与通信工程学院）；School of Electrical and Electronic Engineering, Nanyang Technological University（南洋理工大学电气电子工程学院）
Secure Transmission for Fluid Antenna-Aided ISAC Systems
School of Information Science and Engineering, Shandong University（山东大学信息科学与工程学院）；Information Technology Service Center, People’s Court, Beijing（北京市人民法院信息技术服务中心）
Security-Spectral Efficiency Tradeoff in STAR-RIS RSMA: A Max-Min Fairness Framework
Nanjing University of Posts and Telecommunications（南京邮电大学）；ShanghaiTech University（上海科技大学）；University College London（伦敦大学学院）；Harbin Institute of Technology（哈尔滨工业大学）
Chongqing University of Posts and Telecommunications（重庆邮电大学）；King Abdullah University of Science and Technology (KAUST)（阿卜杜拉国王科技大学）；Chongqing University（重庆大学）；Hunan University（湖南大学）；Beijing Institute of Technology（北京理工大学）
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。
Resource Allocation for Secure Dual-UAV-Assisted ISAC System
Chongqing University of Posts and Telecommunications（重庆邮电大学）；King Abdullah University of Science and Technology (KAUST)（阿卜杜拉国王科技大学）；State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University（重庆大学电气工程学院）；Hunan University（湖南大学）；School of Information Engineering, Changsha Medical University（长沙医学院信息工程学院）；Beijing Institute of Technology（北京理工大学）
Xidian University（西安电子科技大学）；Southeast University（东南大学）；Information Engineering University（信息工程大学）；Peng Cheng Laboratory（鹏城实验室）；University of New South Wales（新南威尔士大学）
