Cellular Sensing via Cooperative Intelligent Reflecting Surfaces

被引:19
作者
Pang, Xiaowei [1 ]
Mei, Weidong [2 ]
Zhao, Nan [1 ]
Zhang, Rui [3 ,4 ]
机构
[1] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
[2] Univ Elect Sci & Technol China, Natl Key Lab Wireless Commun, Chengdu 611731, Peoples R China
[3] Chinese Univ Hong Kong, Shenzhen Res Inst Big Data, Sch Sci & Engn, Shenzhen 518172, Peoples R China
[4] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117583, Singapore
关键词
Sensors; Protocols; Array signal processing; Cellular networks; Autonomous aerial vehicles; Half-duplex system; Full-duplex system; Intelligent reflecting surface (IRS); cellular sensing; cooperative IRSs; COMMUNICATION; RADAR; OPTIMIZATION; DESIGN;
D O I
10.1109/TVT.2023.3283270
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
Intelligent reflecting surface (IRS) can effectively improve the performance of wireless communications and target sensing by passive beamforming/searching. In this correspondence, we consider IRS-aided target sensing in cellular networks by deploying an IRS near each base station (BS) and leveraging two IRSs ' cooperative passive beam searching. Specifically, we propose a new three-stage sensing protocol by controlling the ON/OFF state of each IRS, thereby efficiently acquiring the essential angle information between the IRSs and the target. Based on the obtained angle information, the location of the target is estimated by applying the least-square method. Simulation results are provided to show the efficacy of the proposed cellular sensing scheme with practical half-duplex BSs as compared to other baseline schemes requiring full-duplex BSs.
引用
收藏
页码:15086 / 15091
页数:6
相关论文
共 20 条
[1]   Reconfigurable-Intelligent-Surface-Assisted B5G/6G Wireless Communications: Challenges, Solution, and Future Opportunities [J].
Chen, Zhen ;
Chen, Gaojie ;
Tang, Jie ;
Zhang, Shun ;
So, Daniel K. C. ;
Dobre, Octavia A. A. ;
Wong, Kai-Kit ;
Chambers, Jonathon .
IEEE COMMUNICATIONS MAGAZINE, 2023, 61 (01) :16-22
[2]  
Fang S., 2021, P IEEE GLOB COMM C, P1
[3]   POSITION-LOCATION SOLUTIONS BY TAYLOR-SERIES ESTIMATION [J].
FOY, WH .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1976, 12 (02) :187-194
[4]   Reconfigurable Intelligent Surface Based RF Sensing: Design, Optimization, and Implementation [J].
Hu, Jingzhi ;
Zhang, Hongliang ;
Di, Boya ;
Li, Lianlin ;
Bian, Kaigui ;
Song, Lingyang ;
Li, Yonghui ;
Han, Zhu ;
Poor, H. Vincent .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2020, 38 (11) :2700-2716
[5]   Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond [J].
Liu, Fan ;
Cui, Yuanhao ;
Masouros, Christos ;
Xu, Jie ;
Han, Tony Xiao ;
Eldar, Yonina C. ;
Buzzi, Stefano .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2022, 40 (06) :1728-1767
[6]   Cramer-Rao Bound Optimization for Joint Radar-Communication Beamforming [J].
Liu, Fan ;
Liu, Ya-Feng ;
Li, Ang ;
Masouros, Christos ;
Eldar, Yonina C. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2022, 70 :240-253
[7]   Reconfigurable Intelligent Surface-Aided Multi-User Networks: Interplay Between NOMA and RIS [J].
Liu, Yuanwei ;
Mu, Xidong ;
Liu, Xiao ;
Di Renzo, Marco ;
Ding, Zhiguo ;
Schober, Robert .
IEEE WIRELESS COMMUNICATIONS, 2022, 29 (02) :169-176
[8]   Aerial-Ground Interference Mitigation for Cellular-Connected UAV [J].
Mei, Weidong ;
Zhang, Rui .
IEEE WIRELESS COMMUNICATIONS, 2021, 28 (01) :167-173
[9]   Intelligent Reflecting Surface Assisted Interference Mitigation for Cellular-Connected UAV [J].
Pang, Xiaowei ;
Mei, Weidong ;
Zhao, Nan ;
Zhang, Rui .
IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (08) :1708-1712
[10]   Target Sensing With Intelligent Reflecting Surface: Architecture and Performance [J].
Shao, Xiaodan ;
You, Changsheng ;
Ma, Wenyan ;
Chen, Xiaoming ;
Zhang, Rui .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2022, 40 (07) :2070-2084