Estimation of Uplink Channels for Multiple Users Using Tensor Modeling in RIS-Aided MISO Communication

In this paper estimation of uplink channels using tensor modeling is addressed for multiple users in a reconfigurable intelligent surface (RIS)-aided multiple-input single-output (MISO) communication. The coherence interval is divided into structured frames of pilot symbols transmitted by the users...

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Bibliographic Details
Published inSakarya university journal of computer and information sciences Vol. 6; no. 3; pp. 198 - 207
Main Author ŞENYUVA, Rıfat Volkan
Format Journal Article
LanguageEnglish
Published Sakarya University 31.12.2023
Subjects
channel estimation
khatri-rao factorization
least squares
multi-user miso
parallel factor decomposition
reconfigurable intelligent surfaces
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Summary:In this paper estimation of uplink channels using tensor modeling is addressed for multiple users in a reconfigurable intelligent surface (RIS)-aided multiple-input single-output (MISO) communication. The coherence interval is divided into structured frames of pilot symbols transmitted by the users and pattern of phase shifts applied by the RIS in order to estimate the base station (BS)-RIS channels and the RIS-user’s channels. Estimation methods that use tensor modeling including Khatri-Rao Factorization (KRF) and bilinear alternating least squares (BALS) are applied to the signal model. Numerical results show that both KRF and BALS are superior to the LS estimator by 10 dB SNR for the correlated Rayleigh fading channel model.
ISSN:2636-8129
2636-8129
DOI:10.35377/saucis...1356872