Analysis of blind pilot decontamination

Ralf R. Müller, Mikko Vehkaperä, Laura Cottatellucci

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

16 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationAsilomar Conference on Signals, Systems and Computers
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages1016-1020
ISBN (Electronic)978-1-4799-2390-8, 978-1-4799-2388-5
DOIs
Publication statusPublished - 1 Jan 2013
MoE publication typeA4 Article in a conference publication
Event47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, United States
Duration: 3 Nov 20136 Nov 2013

Publication series

SeriesConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN1058-6393

Conference

Conference47th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove
Period3/11/136/11/13

Keywords

  • channel estimation
  • massive MIMO
  • Multiple antennas
  • multiple-input multiple-output (MIMO) systems
  • principal component analysis
  • random matrix theory

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  • Cite this

    Müller, R. R., Vehkaperä, M., & Cottatellucci, L. (2013). Analysis of blind pilot decontamination. In Asilomar Conference on Signals, Systems and Computers (pp. 1016-1020). [6810444] IEEE Institute of Electrical and Electronic Engineers. Conference Record - Asilomar Conference on Signals, Systems and Computers https://doi.org/10.1109/ACSSC.2013.6810444