TY - GEN
T1 - Reconfigurable Intelligent Surface Assisted Localization over Near-Field Beam Squint Effect
AU - Li, Zhuoran
AU - Wan, Ziwei
AU - Ying, Keke
AU - Mei, Yikun
AU - Ke, Malong
AU - Gao, Zhen
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - High precision network sensing and localization is an important task in 6G wireless communications, where the millimeter-wave (mmWave)/terahertz (THz) extremely large-scale multiple-input-multiple-output (XL-MIMO) technique is expected to be deployed to further boost system capacity. However, the ever-increasing bandwidth and array aperture in mmWave/THz XL-MIMO induce the challenging near-field beam squint effect. In this paper, we propose a reconfigurable intelligent surface (RIS) assisted localization (RISAL) paradigm in near-field conditions. Specifically, the polar-domain gradient descent algorithm and multiple signal classification (MUSIC) algorithm are applied to RISAL, which is able to realize high precision localization under the near-field beam squint effect. Simulation results demonstrate the superiority of the proposed algorithm. With the proposed localization algorithm, the angle accuracy can be 1 to 2 orders of magnitude higher than existing algorithms, and centimeter-level distance accuracy can be achieved.
AB - High precision network sensing and localization is an important task in 6G wireless communications, where the millimeter-wave (mmWave)/terahertz (THz) extremely large-scale multiple-input-multiple-output (XL-MIMO) technique is expected to be deployed to further boost system capacity. However, the ever-increasing bandwidth and array aperture in mmWave/THz XL-MIMO induce the challenging near-field beam squint effect. In this paper, we propose a reconfigurable intelligent surface (RIS) assisted localization (RISAL) paradigm in near-field conditions. Specifically, the polar-domain gradient descent algorithm and multiple signal classification (MUSIC) algorithm are applied to RISAL, which is able to realize high precision localization under the near-field beam squint effect. Simulation results demonstrate the superiority of the proposed algorithm. With the proposed localization algorithm, the angle accuracy can be 1 to 2 orders of magnitude higher than existing algorithms, and centimeter-level distance accuracy can be achieved.
KW - Terahertz communications
KW - XL-MIMO
KW - beam squint
KW - localization
KW - near-field
KW - reconfigurable intelligent surface
KW - wireless sensing
UR - http://www.scopus.com/inward/record.url?scp=85142641442&partnerID=8YFLogxK
U2 - 10.1109/ISWCS56560.2022.9940428
DO - 10.1109/ISWCS56560.2022.9940428
M3 - Conference contribution
AN - SCOPUS:85142641442
T3 - Proceedings of the International Symposium on Wireless Communication Systems
BT - 2022 International Symposium on Wireless Communication Systems, ISWCS 2022
PB - VDE VERLAG GMBH
T2 - 2022 International Symposium on Wireless Communication Systems, ISWCS 2022
Y2 - 19 October 2022 through 22 October 2022
ER -
