STAR-RIS辅助多载波通信感知一体化系统的资源优化  

Resource optimization of STAR-RIS assisted multicarrier integrated sensing and communication systems

作　　者：寇弘恺 傅友华[1,2,3] KOU Hongkai;FU Youhua(College of Electronic and Optical Engineering,Nanjing 210023,China;Nanjing University of Posts and Telecommunications,College of Flexible Electronics(Future Technology),Nanjing 210023,China;National and Local Joint Engineering Laboratory of RF Integration and Micro-Assembly Technology,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)

机构地区：[1]南京邮电大学电子与光学工程学院,江苏南京210023 [2]南京邮电大学柔性电子(未来技术)学院,江苏南京210023 [3]南京邮电大学射频集成与微组装技术国家地方联合工程实验室,江苏南京210023

出　　处：《系统工程与电子技术》2024年第4期1431-1439,共9页Systems Engineering and Electronics

基　　金：射频集成与微组装技术国家地方联合工程实验室开放课题(KFJJ20210101)资助课题。

摘　　要：针对频谱资源短缺和传统的智能反射面无法实现全空间覆盖的问题,研究了同时透射和反射的可重构智能表面(simultaneously transmitting and reflecting reconfigurable intelligent surface, STAR-RIS)辅助通信感知一体化系统。通过分配功率和子载波资源并优化STAR-RIS系数矩阵,使得在保证感知功能的前提下,最大化通信和速率。设计了一种交替优化算法,将多变量之间相互耦合的非凸问题解耦转化为3个凸的子问题。首先,松弛子载波选择变量后使用惩罚函数和逐次凸逼近算法;然后,直接求解功率分配变量的凸子问题;最后,使用半正定规划并把秩一约束改写为核范数与谱范数之差,将其作为惩罚函数,使用逐次凸逼近以优化STAR-RIS系数矩阵。仿真结果表明,与传统RIS相比,所提方案的性能取得了显著提升。In response to the shortage of spectrum resources and the inability of traditional intelligent reflecting surface to achieve full-space coverage,a simultaneously transmitting and reflecting reconfigurable intelligent surface(STAR-RIS)assisted integrated sensing and communication system is studied.By allocating power and subcarrier resources and optimizing STAR-RIS coefficient matrix,the communication sum-rate is maximized under the premise of ensuring the sensing function.An alternating optimization algorithm is designed to decouple the non-convex problem of multiple variables coupling into three convex subproblems.Firstly,the penalty function and the successive convex approximation algorithm are used after relaxing the subcarrier selection variable.Then,the convex subproblem of the power allocation variable is solved directly.Finally,the semidefinite programming is used and the rank-one constraint is rewritten as the difference of the nuclear norm and the spectral norm,which is used as a penalty function.Then the successive convex approximation is used to optimize the STAR-RIS coefficient matrix.The simulation results show that the performance of the proposed scheme improves significantly compared with the traditional RIS.

关 键 词：同时透射和反射的可重构智能表面 通信感知一体化 资源分配 通信和速率 

分 类 号：TN929.5[电子电信—通信与信息系统]