Markovian Cascaded Channel Estimation for RIS Aided Massive MIMO Using 1-Bit ADCs and Oversampling
Release Date：2022-03-16 Author：SHAO Zhichao, YAN Wenjing, YUAN Xiaojun Click：
Markovian Cascaded Channel Estimation for RIS Aided Massive MIMO Using 1-Bit ADCs and Oversampling
SHAO Zhichao, YAN Wenjing, YUAN Xiaojun
(National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China)
Abstract: In this work, we consider reconfigurable intelligent surface (RIS) aided massive multiple-input multiple-output (MIMO) system, where the base station employs a large antenna array with low-cost and low-power 1-bit analog-to-digital converters (ADCs). To compensate the performance loss caused by the coarse quantization, oversampling is applied at the receiver. The main challenge for the acquisition of cascaded channel state information in such a system is to handle the distortion caused by the 1-bit quantization and the sample correlation caused by oversampling. In this work, Bussgang decomposition is applied to deal with the coarse quantization, and a Markov chain is developed to characterize the banded structure of the oversampling filter. An approximate message-passing based algorithm is proposed for the estimation of the cascaded channels. Simulation results demonstrate that our proposed 1-bit systems with oversampling can approach the 2-bit systems in terms of the mean square error performance while the former consumes much less power at the receiver.
Keywords: massive MIMO; reconfigurable intelligent surface; channel estimation; 1-bit ADCs; oversampling
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