| 摘要: |
| 针对多用户多目标通感服务的全空间覆盖问题，研究了有源同时传输和反射可重构智能表面（Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface,STAR-RIS）辅助的通信感知一体化(Integrated Sensing and Communication,ISAC)系统。不同于已有研究工作，本方案建模优化了有源STAR-RIS的幅度参数。在满足各通信用户的信干噪比、各感知目标的照射波束增益以及有源STAR-RIS的硬件约束等条件下，以系统总功率最小化为准则，建模ISAC基站发射波束赋形矢量和有源STAR-RIS相移/幅度等关键参数的联合优化设计问题。为快速解决该复杂的非凸联合优化设计问题，首先将其分解为ISAC基站发射波束赋形设计、有源STAR-RIS元件相移参数设计和幅度参数优化这3个子问题，然后采取块坐标下降策略，迭代求解获取最优解。仿真结果显示，相比于已有方案，本方案提出的联合优化设计算法有效降低了系统总功率30%，能取得复杂度和通信感知性能的良好折中。 |
| 关键词: 通信感知一体化(ISAC) STAR-RIS 波束赋形 联合优化设计 |
| DOI：10.20079/j.issn.1001-893x.240506007 |
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| 基金项目:国家自然科学基金资助项目(61901124)；广东省自然科学基金资助项目(2021A1515012305)；广东省研究生创新教育创新计划(2023JGXM_048) |
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| Joint Optimization Design of Active STAR-RIS-assisted Integrated Sensing and Communication Systems |
| PENG Junjie,WANG Feng,DING Ke |
| (1.School of Information Engineering,Guangdong University of Technology,Guangzhou 510006,China;2.Foshan Hinyeung Technology Company,Foshan 528299,China) |
| Abstract: |
| For the problem of full-space coverage of communication and sensing services across multiple users and targets,the integrated sensing and communication(ISAC)system assisted by the active simultaneously transmitting and reflecting reconfigurable intelligent surface(STAR-RIS)is investigated.Different from the existing research works,this scheme models and optimizes the amplitude parameters of the active STAR-RIS.Considering the signal-to-interference-plus-noise ratio requirements of each communication user,the illumination beampattern gain of each sensed target,and the hardware constraints of the active STAR-RIS,the joint optimization design problem is modeled to minimize the total system power.This involves key parameters such as the transmit beamforming vector of the ISAC base station and the phase/amplitude of the active STAR-RIS.To efficiently tackle this intricate non-convex joint optimization design problem,it is initially decomposed into three sub-problems:the transmit beamforming design of the ISAC base station,the phase shift parameter design and amplitude parameter optimization of the active STAR-RIS components.Then a block coordinate descent strategy is adopted to iteratively solve these sub-problems to obtain the optimal solution.Simulation results demonstrate that,compared with the existing research schemes,the joint optimization design algorithm proposed in this scheme effectively reduces the total system power by 30 |
| Key words: integrated sensing and communication(ISAC) STAR-RIS beamforming joint optimization design |
