Markovian Cascaded Channel Estimation for RIS Aided Massive MIMO Using 1-Bit ADCs and Oversampling

• 作者: SHAO Zhichao YAN Wenjing YUAN Xiaojun
• 来源期刊: 中兴通讯技术（英文版）
• 年，卷（期）: 2022,（1）
• 所属期刊栏目: Special Topic
• 页码范围: 48-56
• 页数: 9页
• 语种: 英文
• DOI: 10.12142/ZTECOM.202201007

摘要

A reconfigurable intelligent surface (RIS) aided massive multiple-input multiple-output (MIMO) system is considered, where the base station employs a large antenna array with low-cost and low-power 1-bit analog-to-digital converters (ADCs). To compensate for the per-formance 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 char-acterize 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.