摘要
提出同时将透射和反射可重构智能表面(Simultaneously transmitting and reflecting reconfigurable intelligent surfaces,STAR-RIS)与通信感知一体化(Integrated sensing and communication,ISAC)系统结合,以实现全空间的通信与感知。同时在STAR-RIS上应用一种低成本的传感器实现了在STAR-RIS上进行目标感知,解决了雷达感知的严重路径损耗问题。基于此,本文研究了STAR-RIS辅助位于STAR-RIS两侧的多用户多输入单输出(Multi-usermulti-input single-output,MU-MISO)以及一个位于STAR-RIS透射侧的目标的ISAC系统,旨在联合优化STAR-RIS的被动波束成形矩阵和ISAC基站处的主动波束成形矩阵,以最大化用户的通信和速率,同时满足目标感知的最低信噪比要求。为了解决优化过程中的非凸问题,提出了一种基于分式规划的块坐标上升算法,将优化变量分为几个块变量交替优化。在迭代优化后续波束成形问题上,应用了连续凸逼近和半正定松弛算法。与传统的可重构智能表面相比,仿真结果验证了在ISAC系统中部署STAR-RIS的优点。同时将所提的基于分式规划的算法与基于加权最小均方误差的算法进行了对比并验证了所提算法在提高通信和速率上的优势和有效性。
This paper combines simultaneous transmitting and reflecting reconfigurable intelligent surfaces(STAR‑RIS)with integrated sensing and communication(ISAC)systems to achieve full space communication and awareness.At the same time,a low‑cost sensor is applied to STAR‑RIS to achieve target sensing on STAR‑RIS,solving the serious path loss problem of radar sensing.Based on this,this article researches ISAC system of STAR‑RIS assisted multi user multi input single output(MU‑MISO)located on both sides of STAR-RIS and a target located on the transmission side of STAR-RIS,aiming to jointly design the active beamforming at the ISAC base station and the passive beamforming matrix of STAR-RIS,in order to maximize communication sum-rate,At the same time,it meets the minimum signal to noise ratio requirements for target perception performance.To solve the non-convex problem in the optimization process,this paper proposes a block coordinate ascending algorithm based on fractional programming,which divides the optimization variables into several block variables for alternate optimization.In the subsequent active and passive beamforming problems of iterative optimization,efficient algorithms such as continuous convex approximation and semi definite relaxation are applied.Simulation results validate the advantages of deploying STAR-RIS in ISAC systems compared to traditional reconfigurable intelligent surfaces.At the same time,the proposed fractional programming-based algorithm is compared with the weighted minimum mean square error algorithm.The simulation results verify the advantages and effectiveness of the proposed algorithm in improving the sum-rate of communication.
作者
朱小双
傅友华
ZHU Xiaoshuang;FU Youhua(College of Electronic and Optical Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;College of Flexible Electronics(Future Technology),Nanjing University of Posts and Telecommunications,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)
出处
《数据采集与处理》
CSCD
北大核心
2024年第1期140-153,共14页
Journal of Data Acquisition and Processing
基金
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开放课题(KFJJ20210101)
装备预研重点实验室基金(JKW202209)。
关键词
通信感知一体化
同时透射和反射可重构智能表面
波束成形
分式规划
块坐标上升
integrated sensing and communication
simultaneously transmitting and reflecting reconfigurable intelligent surface
beamforming
fractional programming
block coordinate ascent
