Integrated Sensing and Communication in IRS-Assisted High-Mobility Systems: Design, Analysis, and Optimization

被引:1
作者
Peng, Xingyu [1 ,2 ]
Tao, Qin [3 ]
Hu, Xiaoling [4 ]
Jin, Richeng [1 ,2 ]
Huang, Chongwen [1 ,2 ]
Chen, Xiaoming [1 ,2 ]
机构
[1] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China
[2] Zhejiang Prov Key Lab Informat Proc Commun & Netwo, Hangzhou 310027, Peoples R China
[3] Hangzhou Normal Univ, Sch Informat Sci & Technol, Hangzhou 311121, Peoples R China
[4] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
基金
中国国家自然科学基金;
关键词
Integrated sensing and communication; Array signal processing; Delays; Doppler shift; Robot sensing systems; Estimation; Optimization; High mobility; intelligent reflecting surface; integrated sensing and communication; beamforming design; orthogonal time frequency space; CHANNEL ESTIMATION; OTFS;
D O I
10.1109/TWC.2024.3436932
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we investigate integrated sensing and communication (ISAC) in high-mobility systems with the aid of an intelligent reflecting surface (IRS). To exploit the benefits of Delay-Doppler (DD) spread caused by high mobility, orthogonal time frequency space (OTFS)-based frame structure and transmission framework are proposed. In such a framework, we first design a low-complexity ratio-based sensing algorithm for estimating the velocity of mobile user. Then, we analyze the performance of sensing and communication in terms of achievable mean square error (MSE) and achievable rate, respectively, and reveal the impact of key parameters. Next, with the derived performance expressions, we jointly optimize the phase shift matrix of IRS and the receive combining vector at the base station (BS) to improve the overall performance of integrated sensing and communication. Finally, extensive simulation results confirm the effectiveness of the proposed algorithms in high-mobility systems.
引用
收藏
页码:16107 / 16122
页数:16
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