| 摘要: |
| 针对多用户多目标通感服务的通信加权速率和最大化问题，研究了混合智能反射面(Reconfigurable Intelligent Surface，RIS)辅助的通信感知一体化(Integrated Sensing and Communication，ISAC)系统。在系统总功率、逐感知目标波束图增益以及混合RIS噪声功率等约束条件下，以通信加权速率和最大化为准则，建立ISAC基站发射波束成形和混合RIS反射系数以及混合RIS主被动模式分布等关键参数的联合优化模型。为加速系统设计，首先将原问题转化为秩约束半正定规划问题，然后将系统设计问题分解为3个子问题，即优化设计ISAC基站波束成形矩阵、混合RIS反射系数矩阵以及混合RIS模式分布矩阵，并提出基于半正定松弛的同时间尺度交替优化方案。 |
| 关键词: 通感一体化（ISAC）系统 通信加权速率和 混合智能反射面 双时间尺度 |
| DOI：10.20079/j.issn.1001-893x.250329001 |
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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 Hybrid RIS-assisted Integrated Sensing and Communication（ISAC） Systems |
| WU Shuaikang,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: |
| Focusing on the problem of maximizing the weighted sum-rate of communication in multi-user multi-target communication and sensing services，the integrated sensing and communication(ISAC) system assisted by hybrid reconfigurable intelligent surface(RIS) is investigated.A joint optimization model for key parameters including ISAC base station transmit beamforming，hybrid RIS reflection coefficients，and hybrid RIS active/passive mode distribution is established under constraints on the total system power，per-sensing-target beampattern gain，and hybrid RIS noise power，with the objective of maximizing the weighted sum-rate of communication.To expedite the system design，the original problem is first transformed into a rank-constrained semidefinite programming problem.Then，the system design problem is decomposed into three subproblems:the optimization of the ISAC base station beamforming matrix，the hybrid RIS reflection coefficient matrix，and the hybrid RIS mode distribution matrix.A same timescale alternating optimization scheme based on semidefinite relaxation is proposed.Furthermore，a low-complexity two timescales scheme is designed，in which the RIS mode distribution is optimized based on statistical channel information at the large timescale and the beamforming and reflection coefficients are alternately optimized based on instantaneous channel information at the small timescale.Simulation results demonstrate that the same timescale scheme improves the weighted sum-rate by approximately 10% compared with the two timescales scheme. |
| Key words: integrated sensing and communication(ISAC) system weighted sum-rate of communication hybrid reconfigurable intelligent surface two timescales |
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