Uplink Channel Estimation in Massive MIMO Systems Using Factor Analysis

Wei X, Peng W, Chen D, Schober R, Jiang T (2018)

Publication Language: English

Publication Type: Journal article

Publication year: 2018

Journal

IEEE Communications Letters Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 22

Pages Range: 1620 - 1623

Journal Issue: 8

DOI: 10.1109/LCOMM.2018.2834347

Abstract

In this letter, we consider the channel estimation problem under pilot contamination in massive multiple-input multiple-output (MIMO) systems. We propose a novel channel estimation scheme, which decomposes the space supported by the covariance matrix of the received signals into three subspaces using factor analysis. For a large number of base station antennas, a practically interference-free subspace is created, in which an accurate channel estimate can be obtained. The proposed factor analysis based scheme exploits spatial correlation to significantly reduce the computational complexity. Simulation results are provided to show the efficacy of the proposed scheme.

Authors with CRIS profile

Robert Schober Lehrstuhl für Digitale Übertragung

Involved external institutions

Huazhong University of Science & Technology CN China (CN)

How to cite

APA:

Wei, X., Peng, W., Chen, D., Schober, R., & Jiang, T. (2018). Uplink Channel Estimation in Massive MIMO Systems Using Factor Analysis. IEEE Communications Letters, 22(8), 1620 - 1623. https://dx.doi.org/10.1109/LCOMM.2018.2834347

MLA:

Wei, Xiao, et al. "Uplink Channel Estimation in Massive MIMO Systems Using Factor Analysis." IEEE Communications Letters 22.8 (2018): 1620 - 1623.

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