Tensor-Based Channel Estimation and Data-Aided Tracking in IRS-Assisted MIMO Systems

This letter proposes a framework for parameter estimation and data detection in the uplink of IRS-assisted MIMO systems in the presence of channel aging. First, we model the received pilot signal as a tensor to estimate the channel parameters and to design the IRS phase shifts. Then, our proposed te...

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Bibliographic Details
Published in:IEEE wireless communications letters 2024-02, Vol.13 (2), p.333-337
Main Authors: Benicio, Kenneth B. A., de Almeida, Andre L. F., Sokal, Bruno, Fazal-E-Asim, Makki, Behrooz, Fodor, Gabor
Format: Article
Language:English
Subjects:
Aging
Channel aging
Channel estimation
Design parameters
Estimation
intelligent reflecting surfaces
Matrix converters
MIMO communication
Parameter estimation
Symbols
tensor-based algorithm
Tensors
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Summary:This letter proposes a framework for parameter estimation and data detection in the uplink of IRS-assisted MIMO systems in the presence of channel aging. First, we model the received pilot signal as a tensor to estimate the channel parameters and to design the IRS phase shifts. Then, our proposed tensor approach tracks the aging process to jointly estimate the aged components and the transmitted data. Compared to state-of-the-art schemes, the numerical results show that our proposed solution improves the performance of IRS-assisted MIMO systems in terms of normalized mean squared error and bit error ratio.
ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2023.3328838