Cellular Sensing via Cooperative Intelligent Reflecting Surfaces

被引:13
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 50 条
  • [41] Intelligent Reflecting Surface Assisted Interference Mitigation for Cellular-Connected UAV
    Pang, Xiaowei
    Mei, Weidong
    Zhao, Nan
    Zhang, Rui
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (08) : 1708 - 1712
  • [42] Toward Ubiquitous Sensing and Localization With Reconfigurable Intelligent Surfaces
    Zhang, Hongliang
    Di, Boya
    Bian, Kaigui
    Han, Zhu
    Poor, H. Vincent
    Song, Lingyang
    PROCEEDINGS OF THE IEEE, 2022, 110 (09) : 1401 - 1422
  • [43] Enhancing Performance of Integrated Sensing and Communication via Joint Optimization of Hybrid and Passive Reconfigurable Intelligent Surfaces
    Zhang, Jingwen
    Wang, Siqiang
    Zheng, Zhong
    Fei, Zesong
    Yu, Hanxiao
    Zhang, Qin
    Han, Zhu
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (19): : 32041 - 32054
  • [44] Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying
    Zhao, Kangchun
    Mao, Yijie
    Shi, Yuanming
    ENTROPY, 2024, 26 (12)
  • [45] Spectrum Sensing Using Intelligent Reflecting Surfaces with Multi-antennas Energy Harvesting
    Alhamad, Raed
    WIRELESS PERSONAL COMMUNICATIONS, 2024, 135 (02) : 1103 - 1116
  • [46] 3D Multi-Target Localization via Intelligent Reflecting Surface: Protocol and Analysis
    Hua, Meng
    Chen, Guangji
    Meng, Kaitao
    Ma, Shaodan
    Yuen, Chau
    Cheung So, Hing
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (11) : 16527 - 16543
  • [47] Improving Energy Efficiency in Satellite-to-Ground Communications With Multiple Reflecting Intelligent Surfaces
    Khalil, Muhammad I.
    Lin, Jiao
    Wang, Ke
    IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2024, 8 (04): : 1985 - 1999
  • [48] Coordinating Multiple Intelligent Reflecting Surfaces Without Channel Information
    Xu, Fan
    Yao, Jiawei
    Lai, Wenhai
    Shen, Kaiming
    Li, Xin
    Chen, Xin
    Luo, Zhi-Quan
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2024, 72 : 31 - 46
  • [49] Intelligent Reflecting Surfaces: Sum-Rate Optimization Based on Statistical Position Information
    Abrardo, Andrea
    Dardari, Davide
    Di Renzo, Marco
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2021, 69 (10) : 7121 - 7136
  • [50] Intelligent Reflecting Surfaces vs. Full-Duplex Relays: A Comparison in the Air
    Ding, Qian
    Yang, Jie
    Luo, Yang
    Luo, Chunbo
    IEEE COMMUNICATIONS LETTERS, 2024, 28 (02) : 397 - 401