Uplink Channel Estimation in Massive MIMO Systems Using Factor Analysis

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autorinnen und Autoren: Wei X, Peng W, Chen D, Schober R, Jiang T
Zeitschrift: IEEE Communications Letters
Jahr der Veröffentlichung: 2018
Band: 22
Heftnummer: 8
Seitenbereich: 1620 - 1623
ISSN: 1089-7798
Sprache: Englisch


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.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Schober, Robert Prof. Dr.-Ing.
Lehrstuhl für Digitale Übertragung


Einrichtungen weiterer Autorinnen und Autoren

Huazhong University of Science & Technology


Zitierweisen

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.

BibTeX: 

Zuletzt aktualisiert 2019-11-08 um 12:10