STAR-RIS辅助通信感知一体化的多用户安全通信  

Multi-user Security Communications for a STAR-RIS-assisted Integrated Sensing and Communication

作　　者：郝万明[1] 宋亚飞 孙钢灿[1] HAO Wanming;SONG Yafei;SUN Gangcan(School of Electrical and Information Engineering,Zhengzhou University,Zhengzhou 450001,China)

机构地区：[1]郑州大学电气与信息工程学院,郑州450001

出　　处：《电讯技术》2024年第10期1621-1627,共7页Telecommunication Engineering

基　　金：国家自然科学基金资助项目(62101499)。

摘　　要：智能反射面在提高通信感知一体化系统性能和增强物理层安全方面具有极大潜力,但是其存在半空间覆盖的缺点。为此,研究了一种同时反射和透射智能反射面,并在考虑感知目标的信噪比约束条件下,建立一个联合优化基站发射波束赋形和智能反射面相移的安全能效最大化问题。为求解所赋形的非凸优化问题,用Dinkelbach方法将目标函数转化为减法形式,并将该为题转化为两个子问题来解耦发射波束赋形和反射面相移,进而提出基于连续凸近似、半正定松弛的交替优化算法来求解。仿真结果表明,与传统的分组智能反射面场景相比,该方案能够提升25.6%的系统能效。Intelligent reflecting surfaces(IRS)hold great potential in improving the performance and enhancing physical layer security of integrated sensing and communication(ISAC)system.Therefore,a simultaneously transmitting and reflecting reconfigurable intelligent surface(STAR-RIS)is investigated.Considering the signal-to-noise ratio constraint of the sensing target,a security energy efficiency maximization problem is established by jointly optimizing the beamforming at the base station and the phase shift at the STAR-RIS.To solve the resulting nonconvex optimization problem,the objective function is transformed into a subtractive form by using Dinkelbach method,and the problem is transformed into two sub-problems to decouple the transmit beamforming and the phase shift.Then an alternating optimization algorithm based on smooth convex approximation and semi-definite relaxation is proposed to solve the two sub-problems.Simulation results show that compared with the traditional grouping intelligent reflecting surface scenario,the proposed scheme can improve the system energy efficiency by 25.6%.

关 键 词：通信感知一体化(ISAC) 智能反射面(IRS) 物理层安全 安全能效最大化 

分 类 号：TN929.5[电子电信—通信与信息系统]