Integrated Localization and Communication for IRS-Assisted Multi-User mmWave MIMO Systems

被引:4
作者
Peng, Xingyu [1 ,2 ]
Hu, Xiaoling [3 ]
Gao, Jiabao [1 ,2 ]
Jin, Richeng [1 ,2 ]
Chen, Xiaoming [1 ,2 ]
Zhong, Caijun [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 & Netw, Hangzhou 310007, Peoples R China
[3] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
关键词
Sensors; Array signal processing; Location awareness; Robot sensing systems; Downlink; Interference; Channel estimation; Intelligent reflecting surface (IRS); integrated sensing and communication (ISAC); beamforming; localization; CHANNEL ESTIMATION; JOINT RADAR; OPTIMIZATION; DESIGN;
D O I
10.1109/TCOMM.2024.3379399
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
This paper delves into the potential of intelligent reflecting surfaces (IRSs) in enabling integrated sensing and communication (ISAC) in multi-user multi-path scenarios. We introduce a three-dimensional (3D) multi-user ISAC framework with distributed IRSs, which offers simultaneous signal demodulation, channel estimation, and localization. The transmission is divided into a user access stage and a downlink transmission stage. In the first stage, we propose an algorithm for simultaneous uplink signal demodulation and angles of arrival (AoA) estimation at the semi-passive IRS. Moreover, a joint active and passive beamforming scheme inspired by radar-communication, is proposed to enhance both communication and localization performance in the downlink stage, while eliminating the need for distinct localization reference signals. Numerical results demonstrate that the proposed ISAC framework achieves centimeter-level localization accuracy while maintaining comparable communication performance to communication-only systems, thus validating its effectiveness.
引用
收藏
页码:4725 / 4740
页数:16
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