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Channel Tracking for RIS-aided mmWave Communications Under High Mobility Scenarios

Liu, Yu, Chen, Ming, Pan, Cunhua, Pan, Yijin, Wang, Yinlu, Huang, Yaoming, Cao, Tianyang, Wang, Jiangzhou (2023) Channel Tracking for RIS-aided mmWave Communications Under High Mobility Scenarios. IEEE Communications Letters, . ISSN 1089-7798. E-ISSN 1558-2558. (doi:10.1109/lcomm.2023.3262646) (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:100775)

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/lcomm.2023.3262646

Abstract

The emerging reconfigurable intelligent surface (RIS) technology is promising for applications in the millimeter wave (mmWave) communication systems to effectively compensate for propagation loss or tackle the blockage issue. Considering the high mobility of users in realistic scenarios, it is essential to adjust the phase shifts in real time to align the beam towards the mobile users, which requires to frequently estimate the channel state information. Hence, it is imperative to design efficient channel tracking schemes to avoid the complex channel estimation procedure. In this paper, we develop a novel channel tracking scheme with two advantages over conventional schemes. First, our tracking scheme is based on the cascaded angles at the RIS instead of the accurate angle values, which is more practical. Second, it can be employed under a more general setting where the noise can be non-Gaussian. Simulation results show the high tracking accuracy of our proposed scheme, and validate the superiority to the existing EKF-based tracking scheme.

Item Type: Article
DOI/Identification number: 10.1109/lcomm.2023.3262646
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: RIS, mmWave, channel tracking, particle filtering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Funders: National Natural Science Foundation of China (https://ror.org/01h0zpd94)
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 12 Apr 2023 13:29 UTC
Last Modified: 05 Nov 2024 13:06 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/100775 (The current URI for this page, for reference purposes)

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