Estimation of Uplink Channels for Multiple Users Using Tensor Modeling in RIS-Aided MISO Communication
Sakarya University Journal of Computer and Information Sciences, cilt.6, sa.3, ss.198-207, 2023 (Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 6 Sayı: 3
- Basım Tarihi: 2023
- Doi Numarası: 10.35377/saucis...1356872
- Dergi Adı: Sakarya University Journal of Computer and Information Sciences
- Derginin Tarandığı İndeksler: Scopus, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.198-207
- Anahtar Kelimeler: Channel Estimation, Khatri-Rao Factorization, Least Squares, Multi-User MISO, Parallel Factor Decomposition, Reconfigurable Intelligent Surfaces
- Maltepe Üniversitesi Adresli: Evet
Özet
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.