Pan, Yijin, Pan, Cunhua, Jin, Shi, Wang, Jiangzhou (2022) Localization in the Near Field of a RIS-Assisted mmWave/subTHz System. In: GLOBECOM 2022 - 2022 IEEE Global Communications Conference. . IEEE ISBN 978-1-6654-3541-3. E-ISBN 978-1-6654-3540-6. (doi:10.1109/globecom48099.2022.10001107) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:99608)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication) | |
| Official URL: https://doi.org/10.1109/globecom48099.2022.1000110... |
Abstract
The low hardware cost makes ultra-large (XL) reconfigurable intelligent surfaces (RIS) an attractive solution for enabling the intelligent electromagnetic environment, but it brings the challenge of near-field propagation channels. In this paper, we consider the propagation feature of the spherical wavefront in the near field of the millimeter-wave/sub Terahertz (mmWave/subTHz) localization system with the assistance of a RIS. The localization problem is investigated based on the derived second-order Fresnel approximation of the near-field channel model. In addition, the RIS training phase shifts and pilots are carefully designed to increase the channel rank so that the channel covariance matrix can be efficiently estimated. Simulation results validate the proposed near-field channel approximation and the localization algorithm.
| Item Type: | Conference or workshop item (Proceeding) |
|---|---|
| DOI/Identification number: | 10.1109/globecom48099.2022.10001107 |
| Additional information: | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Uncontrolled keywords: | Location awareness, Training, Simulation, Channel estimation, Reconfigurable intelligent surfaces, Millimeter wave propagation, Hardware |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
| SWORD Depositor: | JISC Publications Router |
| Depositing User: | JISC Publications Router |
| Date Deposited: | 27 Jan 2023 15:17 UTC |
| Last Modified: | 05 Nov 2024 13:05 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/99608 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Wang, Jiangzhou.
| Creator's ORCID: |
 https://orcid.org/0000-0003-0881-3594
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