• DocumentCode
    2609633
  • Title

    Reduced Complexity Joint User and Receive Antenna Selection Algorithms for SLNR-Based Precoding in MU-MIMO Systems

  • Author

    Patcharamaneepakorn, Piya ; Doufexi, Angela ; Armour, Simon

  • Author_Institution
    Centre for Commun. Res. (CCR), Univ. of Bristol, Bristol, UK
  • fYear
    2012
  • fDate
    6-9 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper investigates the user scheduling strategy of multi-user MIMO (MU-MIMO) systems using a transmit precoding scheme based on maximum signal to leakage and noise ratio (SLNR). When users are equipped with multiple antennas, joint user and receive antenna selection may be performed and is shown to potentially provide superior performance to user selection schemes where users utilise all available antennas, especially at high SNR. To overcome the impractical computational burden of exhaustive methods, two suboptimal algorithms are presented in this paper. The simulation results show that the proposed suboptimal algorithms perform very close to the exhaustive joint user and antenna selection algorithm.
  • Keywords
    MIMO communication; communication complexity; precoding; receiving antennas; MU-MIMO system; SLNR-based precoding; maximum signal to leakage and noise ratio; receive antenna selection algorithm; reduced complexity joint user antenna selection algorithm; suboptimal algorithm; transmit precoding scheme; user scheduling strategy; Array signal processing; Complexity theory; Joints; MIMO; Receiving antennas; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2012 IEEE 75th
  • Conference_Location
    Yokohama
  • ISSN
    1550-2252
  • Print_ISBN
    978-1-4673-0989-9
  • Electronic_ISBN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VETECS.2012.6239974
  • Filename
    6239974