1. Semi-Blind Channel Estimation for RIS-Aided Massive MIMO: A Trilinear AMP Approach
- Author
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Ying-Chang Liang, Xiaojun Yuan, Ying-Jun Angela Zhang, Hang Liu, and Zhen-Qing He
- Subjects
Base station ,Semi blind ,Computer science ,MIMO ,Telecommunications link ,Message passing ,Inference ,Estimator ,Algorithm ,Computer Science::Information Theory ,Communication channel - Abstract
This paper studies semi-blind channel estimation for a reconfigurable intelligent surface (RIS) aided uplink massive multiple-input multiple-output (MIMO) system, in which the base station simultaneously estimates the channel coefficients and detects the partially unknown transmit symbols. We formulate the semi-blind channel estimation task as a trilinear inference problem. Based on the approximate message passing (AMP) principle, we develop a computationally efficient approach, called Trilinear AMP, to calculate the marginal posterior mean estimators of the trilinear inference problem. Simulation results demonstrate the effectiveness of the proposed Trilinear AMP approach.
- Published
- 2021
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