• DocumentCode
    2045447
  • Title

    Optimal pilot beam pattern design for massive MIMO systems

  • Author

    Song Noh ; Zoltowski, M.D. ; Youngchul Sung ; Love, David J.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2013
  • fDate
    3-6 Nov. 2013
  • Firstpage
    20722076
  • Lastpage
    20722076
  • Abstract
    In this paper, channel estimation for massive multiple-input multiple-output (MIMO) systems with a large number of transmit antennas at the base station is considered, and a new algorithm for pilot beam pattern design for optimal channel estimation under the assumption of Gauss-Markov channel processes is proposed. The proposed algorithm designs the optimal pilot beam pattern sequentially by exploiting the statistics of the channel, antenna correlation, and temporal correlation. The algorithm provides a sequentially optimal sequence of pilot beam patterns for a given set of system parameters. Numerical results show the effectiveness of the proposed algorithm.
  • Keywords
    MIMO communication; Markov processes; antenna arrays; channel estimation; correlation methods; transmitting antennas; Gauss-Markov channel; antenna correlation; massive MIMO systems; multiple-input multiple-output systems; optimal channel estimation; optimal pilot beam pattern; temporal correlation; transmit antennas; Channel estimation; Correlation; Covariance matrices; Kalman filters; MIMO; Signal to noise ratio; Training;
  • 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.2013.6810671
  • Filename
    6810671