Joint User Detection and Localization in Near-Field Using Reconfigurable Intelligent Surfaces

被引:0
|
作者
Mylonopoulos, Georgios [1 ,2 ]
Makki, Behrooz [3 ]
Buzzi, Stefano [1 ,2 ,4 ]
Fodor, Gabor [3 ,5 ]
机构
[1] Univ Cassino & Southern Lazio, Dept Elect & Informat Engn, I-03043 Cassino, Italy
[2] Consorzio Nazl Interuniv Telecomunicaz, I-43124 Parma, Italy
[3] Ericsson Res, S-16480 Stockholm, Sweden
[4] Politecn Milan, Dept Elect Informat & Bioengn, I-20133 Milan, Italy
[5] KTH Royal Inst Technol, Div Decis & Control, S-11428 Stockholm, Sweden
基金
欧盟地平线“2020”;
关键词
Location awareness; Noise measurement; Reconfigurable intelligent surfaces; Iterative methods; Integrated sensing and communication; Vectors; Interference; Inspection; Europe; Electronic mail; Multiuser detection; access protocols; localization; reconfigurable intelligent surfaces;
D O I
10.1109/LWC.2024.3487116
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This letter studies the problem of detecting active user equipment devices (UEs) and localization in the near field, wherein the base station (BS) is unaware of the number of active (or inactive) UEs and their positions. The system is equipped with multiple reconfigurable intelligent surfaces (RISs), which provide a low-complexity solution for detection and localization with additional degrees of freedom due to the additional inspection points. Specifically, we propose an iterative detection procedure, allowing the BS to assign pilots to detected UEs, and thereby providing a structured channel access. Also, the problem of multiple access interference is explored as a limiting performance factor. The results show that, with a proper configuration of the RISs, the proposed scheme can detect/localize UEs, augmenting benchmark detection schemes to spatially aware UE detection.
引用
收藏
页码:58 / 62
页数:5
相关论文
共 50 条
  • [31] Wireless Fingerprinting Localization in Smart Environments Using Reconfigurable Intelligent Surfaces
    Nguyen, Cam L. Y.
    Georgiou, Orestis
    Gradoni, Gabriele
    di Renzo, Marco
    IEEE ACCESS, 2021, 9 (09): : 135526 - 135541
  • [32] Localization of Near-Field Sources Using Compressed Sensing
    Inami, Masahiro
    Kikuma, Nobuyoshi
    Sakakibara, Kunio
    2018 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), 2018,
  • [33] Near-Field Source Localization by Using Focusing Technique
    Hongyang He
    Yide Wang
    Joseph Saillard
    EURASIP Journal on Advances in Signal Processing, 2008
  • [34] Source localization using reflection omission in the near-field
    Ebrahimian, Z
    Scholtz, RA
    2005 IEEE/ACES INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND APPLIED COMPUTATIONAL ELECTROMAGNETICS, 2005, : 13 - 16
  • [35] Source Localization in Near-field Using A Moving Array
    Xie, Da
    Niu, Tingting
    Huang, Jianguo
    Ge, Hongya
    MILCOM 2009 - 2009 IEEE MILITARY COMMUNICATIONS CONFERENCE, VOLS 1-4, 2009, : 97 - +
  • [36] Near-Field Source Localization by Using Focusing Technique
    He, Hongyang
    Wang, Yide
    Saillard, Joseph
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2008, 2008 (1)
  • [37] Passive Localization of Near-Field Sources Using Cumulant
    Liang, Junli
    Liu, Ding
    IEEE SENSORS JOURNAL, 2009, 9 (08) : 953 - 960
  • [38] Ring-type Codebook Design for Reconfigurable Intelligent Surface Near-field Beamforming
    Wang, Fan
    Wang, Xin
    Li, Xiang
    Hou, Xiaolin
    Chen, Lan
    Suyama, Satoshi
    Asai, Takahiro
    2022 IEEE 33RD ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (IEEE PIMRC), 2022, : 391 - 396
  • [39] A multisensory perspective on near-field detection and localization of hydroacoustic sourcesa)
    Coombs, Sheryl
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2023, 153 (05): : 2545 - 2561
  • [40] NEAR-FIELD OPTICAL-DETECTION OF ASPERITIES IN DIELECTRIC SURFACES
    KANN, JL
    MILSTER, TD
    FROEHLICH, FF
    ZIOLKOWSKI, RW
    JUDKINS, JB
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1995, 12 (03): : 501 - 512