The Library
Kalman filter based channel tracking for RIS-assisted multi-user networks
Tools
Yu, Danyang, Zheng, Gan, Shojaeifard, Arman, Lambotharan, Sangarapillai and Liu, Yi (2023) Kalman filter based channel tracking for RIS-assisted multi-user networks. IEEE Transactions on Wireless Communications . p. 1. doi:10.1109/twc.2023.3312426 ISSN 1558-2248. (In Press)
|
PDF
WRAP-Kalman-Filter-based-channel-tracking-23.pdf - Accepted Version - Requires a PDF viewer. Download (754Kb) | Preview |
Official URL: https://doi.org/10.1109/twc.2023.3312426
Abstract
In this paper, we investigate channel estimation in a reconfigurable intelligent surface (RIS) assisted multi-user network while taking the mobility of users into consideration. Based on a time-varying channel model, we utilize Kalman filter (KF) that is able to exploit temporal correlation to track cascaded channel. In order to maintain a relatively low pilot overhead, we present a multiple sub-phases based transmission protocol where the number of pilot sequences in each sub-phase is less than the number of users, i.e., pilot contamination exists. For the sake of practicality, we directly utilize discrete Fourier transform (DFT) matrix as phase shift matrix. We analyze normalized mean square error and provide some asymptotic results. A more practical scenario with hardware impairments (HWI) at the transceiver and the RIS is also considered. Since HWI is also part of the measurement matrix and is unknown to the base station, we propose a joint estimation of the channel and HWI. Under this joint estimation framework, the underlying state space model becomes nonlinear. We develop an extended KF (EKF) algorithm to tackle the nonlinearity through which the model can be linearized. Numerical results show that the proposed KF and EKF algorithms outperform benchmark schemes under various scenarios.
Item Type: | Journal Article | ||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||||||||||||
SWORD Depositor: | Library Publications Router | ||||||||||||||||||
Library of Congress Subject Headings (LCSH): | Wireless communication systems, Signal processing -- Digital techniques, Fourier transformations, MIMO systems, Kalman filtering | ||||||||||||||||||
Journal or Publication Title: | IEEE Transactions on Wireless Communications | ||||||||||||||||||
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | ||||||||||||||||||
ISSN: | 1558-2248 | ||||||||||||||||||
Official Date: | 12 September 2023 | ||||||||||||||||||
Dates: |
|
||||||||||||||||||
Page Range: | p. 1 | ||||||||||||||||||
DOI: | 10.1109/twc.2023.3312426 | ||||||||||||||||||
Status: | Peer Reviewed | ||||||||||||||||||
Publication Status: | In Press | ||||||||||||||||||
Re-use Statement: | © 2023 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. | ||||||||||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||||||||||
Date of first compliant deposit: | 16 November 2023 | ||||||||||||||||||
Date of first compliant Open Access: | 16 November 2023 | ||||||||||||||||||
RIOXX Funder/Project Grant: |
|
||||||||||||||||||
Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year