• DocumentCode
    1248080
  • Title

    On the Precoder Design of Flat Fading MIMO Systems Equipped With MMSE Receivers: A Large-System Approach

  • Author

    Artigue, Cédric ; Loubaton, Philippe

  • Author_Institution
    Freescale Semicond., Toulouse, France
  • Volume
    57
  • Issue
    7
  • fYear
    2011
  • fDate
    7/1/2011 12:00:00 AM
  • Firstpage
    4138
  • Lastpage
    4155
  • Abstract
    This paper is devoted to the design of precoders maximizing the ergodic mutual information (EMI) of bi-correlated flat fading MIMO systems equipped with MMSE receivers. The channel state information and the second-order statistics of the channel are assumed available at the receiver side and at the transmitter side respectively. As the direct maximization of the EMI needs the use of nonattractive algorithms, it is proposed to optimize an approximation of the EMI, introduced recently, obtained when the number of transmit and receive antennas t and τ converge to ∞ at the same rate. It is established that the relative error between the actual EMI and its approximation is a O( [ 1/( t2)]) term. It is shown that the left singular eigenvectors of the optimum precoder coincide with the eigenvectors of the transmit covariance matrix, and its singular values are solution of a certain maximization problem. Numerical experiments show that the mutual information provided by this precoder is close from what is obtained by maximizing the true EMI, but that the algorithm maximizing the approximation is much less computationally intensive.
  • Keywords
    MIMO communication; approximation theory; channel coding; eigenvalues and eigenfunctions; fading channels; least mean squares methods; optimisation; precoding; radio receivers; radio transmitters; receiving antennas; statistics; transmitting antennas; MMSE receivers; approximation optimization; bi-correlated flat fading MIMO system; channel state information; ergodic mutual information maximization; large-system approach; nonattractive algorithm; precoder design; receive antenna; second-order statistics; singular eigenvectors; transmit antenna; transmitter; Approximation methods; Context; Covariance matrix; MIMO; Receivers; Signal to noise ratio; Transmitting antennas; Bi-correlated MIMO channels; MMSE receiver; Poincaré-Nash inequality; ergodic capacity; integration by part formula; large Gaussian random matrices; precoding schemes;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2011.2145710
  • Filename
    5895077