• DocumentCode
    3561284
  • Title

    Precoder Design in the Presence of Spatial Correlation for Macrocell Environments

  • Author

    Zhang, Lin ; Zhu, Yuesheng

  • Author_Institution
    Lab. of Commun. & Inf. Security, Peking Univ., Shenzhen, China
  • Volume
    16
  • Issue
    7
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    1010
  • Lastpage
    1013
  • Abstract
    A precoder scheme based on the geometrical propagation model for macrocell environments is proposed. Employing the geometry information, spatial correlation matrices of both link ends are derived in closed-form. With the spatial correlation feedback, a computationally efficient solution is obtained to minimize the Chernoff bound on pairwise error probability (PEP). Simulation results show that the proposed scheme can converge to the solution fast, and the symbol error rate (SER) performance is close to that of the minimum SER upper-bound scheme with lower complexity. For both the cases of two transmit antennas and constant transmit-side correlation, it becomes an optimal precoder of minimizing SER upper-bound.
  • Keywords
    cellular radio; correlation methods; error statistics; matrix algebra; precoding; transmitting antennas; Chernoff bound minimization; PEP; cellular systems; constant transmit-side correlation; geometrical propagation model; link ends; macrocell environments; minimum SER upper-bound scheme; pairwise error probability; precoder design; spatial correlation feedback; spatial correlation matrices; symbol error rate performance; transmit antennas; Arrays; Channel models; Correlation; Macrocell networks; Resource management; Signal to noise ratio; Upper bound; Geometrically based single bounce macrocell (GBSBM); Multiple-input multiple-output (MIMO); spatial correlation; transmit precoding;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • Conference_Location
    5/15/2012 12:00:00 AM
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2012.050912.120183
  • Filename
    6200371