• 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