• DocumentCode
    6133
  • Title

    Pilot Signal Design for Massive MIMO Systems: A Received Signal-To-Noise-Ratio-Based Approach

  • Author

    Jungho So ; Donggun Kim ; Yuni Lee ; Youngchul Sung

  • Author_Institution
    Dept. of Electr. Eng., KAIST, Daejeon, South Korea
  • Volume
    22
  • Issue
    5
  • fYear
    2015
  • fDate
    May-15
  • Firstpage
    549
  • Lastpage
    553
  • Abstract
    In this letter, the pilot signal design for massive MIMO systems to maximize the training-based received signal-to-noise ratio (SNR) is considered under two channel models: block Gauss-Markov and block independent and identically distributed (i.i.d.) channel models. First, it is shown that under the block Gauss-Markov channel model, the optimal pilot design problem reduces to a semi-definite programming (SDP) problem, which can be solved numerically by a standard convex optimization tool. Second, under the block i.i.d. channel model, an optimal solution is obtained in closed form. Numerical results show that the proposed method yields noticeably better performance than other existing pilot design methods in terms of received SNR.
  • Keywords
    MIMO communication; Markov processes; convex programming; signal processing; SDP; SNR; block Gauss-Markov channel models; block i.i.d. channel model; block independent and identically distributed channel models; massive MIMO systems; multiple-input multiple-output systems; pilot signal design; semidefinite programming problem; standard convex optimization tool; training-based received signal-to-noise ratio; Channel estimation; Channel models; Data communication; MIMO; Signal to noise ratio; Training; Vectors; Channel estimation; Gauss–Markov model; Kalman filter; massive MIMO; pilot design;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2364180
  • Filename
    6932432