Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152711
Title: Cost-efficient RIS-aided channel estimation via rank-one matrix factorization
Authors: Zhang, Wei
Tay, Wee Peng
Keywords: Engineering::Electrical and electronic engineering::Wireless communication systems
Issue Date: 2021
Source: Zhang, W. & Tay, W. P. (2021). Cost-efficient RIS-aided channel estimation via rank-one matrix factorization. IEEE Wireless Communications Letters, 10(11), 2562-2566. https://dx.doi.org/10.1109/LWC.2021.3107547
Project: A19D6a0053
Journal: IEEE Wireless Communications Letters
Abstract: A reconfigurable intelligent surface (RIS) consists of massive meta elements, which can improve the performance of future wireless communication systems. Existing RIS-aided channel estimation methods try to estimate the cascaded channel directly, incurring high computational and training overhead especially when the number of elements of RIS is extremely large. In this paper, we propose a cost-efficient channel estimation method via rank-one matrix factorization (MF). Specifically, if the RIS is employed near base station (BS), it is found that the RIS-aided channel can be factorized into a product of low-dimensional matrices. To estimate these factorized matrices, we propose alternating minimization and gradient descent approaches to obtain the near optimal solutions. Compared to directly estimating the cascaded channel, the proposed MF method reduces training overhead substantially. Finally, the numerical simulations show the effectiveness of the proposed MF method.
URI: https://hdl.handle.net/10356/152711
ISSN: 2162-2337
DOI: 10.1109/LWC.2021.3107547
Rights: © 2021 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. The published version is available at: https://doi.org/10.1109/LWC.2021.3107547.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

Files in This Item:
File Description SizeFormat 
Zhang_WCL2021-1130.pdf252.51 kBAdobe PDFView/Open

Page view(s)

45
Updated on May 24, 2022

Download(s) 50

23
Updated on May 24, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.