Suppression of pilot-contamination in massive MIMO systems

Author

Neumann, Dominik ; Joham, Michael ; Utschick, Wolfgang

Author_Institution

Inst. for Signal Process., Tech. Univ. Munchen, Munich, Germany

fYear

2014

fDate

22-25 June 2014

Firstpage

11

Lastpage

15

Abstract

We propose a novel channel estimation method for suppression of interference during uplink training in massive MIMO systems. The method makes use of the received uplink data to improve upon the estimation of solely training based estimators. It is based on the maximum a-posteriori criterion and outperforms state-of-the-art methods in terms of estimation accuracy and robustness. We further propose a simplified semi-blind method.

Keywords

MIMO communication; cellular radio; channel estimation; interference suppression; maximum likelihood estimation; radiofrequency interference; cellular network; channel estimation method; fifth generation wireless networks; interference suppression; massive MIMO systems; maximum a-posteriori criterion; pilot-contamination suppression; received uplink data; semiblind method; uplink training; Antennas; Base stations; Channel estimation; MIMO; Signal processing; Training; Uplink;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Advances in Wireless Communications (SPAWC), 2014 IEEE 15th International Workshop on

Conference_Location

Toronto, ON

Type

conf

DOI

10.1109/SPAWC.2014.6941307

Filename

6941307