DocumentCode :
2039018
Title :
Analysis of blind pilot decontamination
Author :
Muller, Rafael Rios ; Vehkapera, Mikko ; Cottatellucci, Laura
Author_Institution :
Inst. for Digital Commun., Univ. Erlangen-Nurnberg, Erlangen, Germany
fYear :
2013
fDate :
3-6 Nov. 2013
Firstpage :
1016
Lastpage :
1020
Abstract :
A nonlinear channel estimation scheme proposed by the authors in earlier work is shown to overcome the pilot contamination problem in massive multiple-input multiple-output (MIMO) systems. The method is based on a subspace projection using a singular value decomposition and is studied both by analytical and simulative means. The analysis presented in this paper is a refined version of an earlier work by the same authors. In addition, simulations based on a cellular network model show that the benefits of the proposed scheme are retained also in more realistic settings.
Keywords :
MIMO communication; channel estimation; singular value decomposition; MIMO system; blind pilot decontamination; cellular network model; massive multiple-input multiple-output system; nonlinear channel estimation; pilot contamination problem; singular value decomposition; subspace projection; Arrays; Channel estimation; Eigenvalues and eigenfunctions; Interference; MIMO; Receiving antennas; Vectors; Multiple antennas; channel estimation; massive MIMO; multiple-input multiple-output (MIMO) systems; principal component analysis; random matrix theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4799-2388-5
Type :
conf
DOI :
10.1109/ACSSC.2013.6810444
Filename :
6810444
Link To Document :
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