智能反射面辅助通感一体化系统安全资源分配算法  

Resource Allocation Algorithm for Intelligent Reflecting Surface-assisted Secure Integrated Sensing And Communications System

作　　者：朱政宇[1,2] 杨晨一 李铮 郝万明[1] 杨婧[1] 孙钢灿[1] ZHU Zhengyu;YANG Chenyi;LI Zheng;HAO Wanming;YANG Jing;SUN Gangcan(School of Electrical and Information Engineering,Zhengzhou University,Zhengzhou 450001,China;National Mobile Communications Research Laboratory,Southeast University,Nanjing 210018,China)

机构地区：[1]郑州大学电气与信息工程学院,郑州450001 [2]东南大学移动通信国家重点实验室,南京210018

出　　处：《电子与信息学报》2025年第1期66-74,共9页Journal of Electronics & Information Technology

基　　金：国家重点研发计划(2022YFD2001200);国家自然科学基金(61922072);中国博士后科学基金(2023T160596);河南省自然科学基金优青项目(232300421097);河南省高校科技创新人才支持计划(23HASTIT019);河南省博士后经费资助(202001015);东南大学移动通信国家重点实验室开放课题(2023D11)。

摘　　要：为了解决6G通感一体化系统(ISAC)中信息传输安全以及频谱紧张的问题,该文提出一种智能反射面(IRS)辅助ISAC系统安全资源分配算法。首先,在IRS-ISAC系统中,用户受到窃听者的恶意攻击时,通过干扰机发射的干扰信号和IRS智能地调节反射相移,重新配置传输环境,以提高系统的物理层安全。其次,考虑在基站和干扰机的最大发射功率约束,IRS反射相移约束以及雷达的信干噪比约束下,建立一个联合优化基站发射波束成形、干扰机预编码和IRS相移的系统保密率最大化优化问题。然后,利用交替优化和半正定松弛(SDR)算法等方法对原非凸优化问题进行转换,求出一个能够得到确定解的凸优化问题。最后提出一种基于交替迭代的安全资源分配算法。仿真结果验证了所提算法的安全性和有效性以及IRS-ISAC系统的优越性。Objective In the 6G era,the rapid increase in wireless devices coupled with a scarcity of spectrum resources necessitates the enhancement of system capacity,data rates,and latency.To meet these demands,Integrated Sensing And Communications(ISAC)technology has been proposed.Unlike traditional methods where communication and radar functionalities operate separately,ISAC merges wireless communication with radar sensing,utilizing a shared infrastructure and spectrum.This innovative approach maximizes the efficiency of compact wireless hardware and improves spectral efficiency.However,the integration of communication and radar signals into transmitted beams introduces vulnerabilities,as these signals can be intercepted by potential eavesdroppers,increasing the risk of data leakage.As a result,Physical Layer Security(PLS)becomes essential for ISAC systems.PLS capitalizes on the randomness and diversity inherent in wireless channels to create transmission schemes that mitigate eavesdropping risks and bolster system security.Nevertheless,PLS’s effectiveness is contingent on the quality of wireless channels,and the inherently fluctuating nature of these channels leads to inconsistent security performance,posing significant challenges for system adaptability and optimization.Moreover,Intelligent Reflecting Surfaces(IRS)emerge as a pivotal technology in 6G networks,offering the capability to control wireless propagation and the environment by adjusting reflection phase shifts.This advancement facilitates the establishment of reliable communication and sensing links,thereby enhancing the ISAC system’s sensing coverage,accuracy,wireless communication performance,and overall security.Consequently,IRS presents a vital solution for addressing PLS challenges in ISAC systems.In light of this,the paper proposes a design study focused on IRS-assisted ISAC systems incorporating cooperative jamming to effectively tackle security concerns.Methods This paper examines the impact of eavesdroppers on the security performance of ISAC sy

关 键 词：通感一体化 智能反射面 物理层安全 交替优化 

分 类 号：TN915.0[电子电信—通信与信息系统]