Beam-squint aware channel estimation for dual-wideband RIS-aided massive MIMO

2023-9
Yılmaz, Onur
This study introduces a novel beam-squint aware (BSA) channel estimation method for reconfigurable intelligent surface (RIS)-aided frequency- and spatial-wideband (dual wideband) massive multiple-input multiple-output (MIMO) systems in millimeter wave (mmWave) frequency bands. The focus of our proposed method is on estimating slowly-varying angle and delay parameters, while effectively capturing fast-changing channel gains. For this purpose, we adopted both the slow-time parameter estimation (ST-PE) mode and the fast-time parameter estimation (FT-PE) mode within a coherence time. During the ST-PE mode, we propose novel BSA approach for estimating angle of arrivals (AoA) at the base station (BS). Subsequently, we employ a BSA and efficient joint orthogonal matching pursuit (OMP) algorithm to estimate the cascaded angle-delay pairs. On the other hand, the FT-PE mode involves a BSA subspace least square (LS) estimation method to estimate the channel gains. A notable feature of our proposed methods is their consideration of the amplitude-phase coupling constraint inherent in practical RIS structures, which enhances the realism of the channel estimation process. Through simulations, superior performance of our proposed estimation method is demonstrated in terms of normalized mean square error (NMSE) compared to existing approaches. Our findings highlight the potential of the BSA channel estimation method to optimize the performance of RIS-enabled massive MIMO systems.
Citation Formats
O. Yılmaz, “Beam-squint aware channel estimation for dual-wideband RIS-aided massive MIMO,” M.S. - Master of Science, Middle East Technical University, 2023.