This letter investigates the uplink data detection for reconfigurable intelligent surface (RIS)-assisted massive multiple-input multiple-output (MIMO) systems with low-resolution quantization at the base stations (BSs). By exploiting the statistical characteristics of the user-to-RIS and RIS-to-BS channels and the central limit theorem (CLT), we first demonstrate that the components in the effective channel are approximately Gaussian distributed under propagation in sub-6 GHz bands. Based on the bilinear generalized approximate message passing (BiG-AMP) algorithm, we then provide a quantization-aware approach to estimate the effective channel and recover transmit symbols. Finally, numerical results show that the revised BiG-AMP technique can improve the performance of channel estimation and data detection with affordable computational complexity.
CITATION STYLE
Xiong, Y., Qin, L., Sun, S., Liu, L., Mao, S., Zhang, Z., & Wei, N. (2023). Joint Effective Channel Estimation and Data Detection for RIS-Aided Massive MIMO Systems with Low-Resolution ADCs. IEEE Communications Letters, 27(2), 721–725. https://doi.org/10.1109/LCOMM.2022.3232217
Mendeley helps you to discover research relevant for your work.