• DocumentCode
    80455
  • Title

    Linear Precoder Design for Doubly Correlated Partially Coherent Fading MIMO Channels

  • Author

    Yadav, Ankesh ; Juntti, Markku ; Lilleberg, Jorma

  • Author_Institution
    Dept. of Commun. Eng., Univ. of Oulu, Oulu, Finland
  • Volume
    13
  • Issue
    7
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    3621
  • Lastpage
    3635
  • Abstract
    We consider the single-user multiple-input multiple-output (MIMO) precoder design problem for the doubly spatially correlated partially coherent Rayleigh fading channels with discrete inputs. The objective is to design a linear precoder to adapt to the degradation caused by the imperfect channel estimation at the receiver and the transmit-receive antenna correlation. The system is partially coherent so that the MIMO channel coefficients are estimated at the receiver and its error covariance matrix is fed back to the transmitter. We utilized the cutoff rate (CR) expression, an alternative to the mutual information (MI), and propose to use it as a design criterion to design the linear precoders. A linear precoder is obtained by numerically maximizing the CR with respect to the precoder matrix with a given average power constraint. Furthermore, the precoder matrix is decomposed using singular value decomposition (SVD) into the input shaping matrix, power loading matrix, and beamforming matrix. The beamforming matrix is found to coincide with the eigenvectors of the transmit correlation matrix. The power loading and input shaping matrices are solved numerically using the difference of convex (d.c.) functions programming algorithm and optimization under the unitary constraint, respectively. A 2-block alternating optimization (AO) algorithm is proposed to solve the input shaping matrix and power loading matrix iteratively. Precoders are designed to be used in conjunction with two MIMO transmission schemes: the spatial multiplexing (SM) and space-time (ST) block transmission modes. The frame error rate (FER) and average MI are used as the performance metrics to validate the performance of the newly designed CR-precoders in comparison with the conventional no-precoding case and cutoff rate optimized partially coherent constellations (PCCs). Numerical examples show that the performance gains of the designed precoders are significant compared to the CR-PCCs and conventional - odewords.
  • Keywords
    MIMO communication; Rayleigh channels; convex programming; correlation methods; covariance matrices; eigenvalues and eigenfunctions; error statistics; precoding; singular value decomposition; space division multiplexing; space-time block codes; FER; MIMO channel coefficients; MIMO precoder design problem; MIMO transmission schemes; PCC; SVD; alternating optimization algorithm; beamforming matrix; cutoff rate expression; difference of convex functions programming algorithm; discrete inputs; doubly spatially correlated partially coherent Rayleigh fading channels; eigenvectors; error covariance matrix; frame error rate; imperfect channel estimation; input shaping matrix; linear precoder; mutual information; no-precoding case; partially coherent constellations; power loading matrix; precoder matrix; single-user multiple-input multiple-output precoder design problem; singular value decomposition; space-time block transmission modes; spatial multiplexing transmission modes; transmit correlation matrix; transmit-receive antenna correlation; Channel estimation; Correlation; Loading; MIMO; Matrix decomposition; Optimization; Receivers; Linear precoder design; alternating optimization; cutoff rate; d.c. programming; multiple-input multiple-output (MIMO) systems; partial CSI; space??time block codes (STBC); spatial correlated channels; spatial multiplexing (SM); unitary space??time codes (USTC);
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2014.2317490
  • Filename
    6798756