• DocumentCode
    2322747
  • Title

    ARQ protocols for MIMO systems

  • Author

    Zouaidi, Fatma ; Boujemaa, Hatem ; Siala, Mohamed

  • Author_Institution
    COSIM, Higher Sch. of Commun. of Tunis, Tunis, Tunisia
  • fYear
    2012
  • fDate
    March 29 2012-April 1 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we evaluate the performance of Automatic Repeat reQuest (ARQ) protocols for MIMO (Multiple In Multiple Out) Systems using fixed and adaptive Modulation based on the instantaneous Signal to Noise Ratio (SNR). Transmit Antenna Selection (TAS) or/and Space Time Block Coding (STBC) are used. At the receiver, Maximum Ration Combining (MRC), Selection Combining (SC), Generalized SC (GSC), Minimum Selection GSC (MSGSC) and Maximum Likeliood (ML) detection are used. We also propose a combination of TAS and STBC where STBC is performed over two selected best antennas. We provide an analysis of the throughput performance of ARQ for MIMO systems using different transmitting and receiving techniques. Simulation results are also provided to confirm the accuracy of the theoretical analysis.
  • Keywords
    MIMO communication; automatic repeat request; maximum likelihood detection; protocols; space-time block codes; ARQ protocols; GSC; MIMO systems; MRC; MSGSC; SNR; STBC; TAS; adaptive modulation; automatic repeat request performance; generalized selection combining; maximum likehood detection; maximum ration combining; minimum selection GSC; multiple in multiple out systems; signal to noise ratio; space time block coding; transmit antenna selection; Automatic repeat request; MIMO; Modulation; Receiving antennas; Signal to noise ratio; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking (ComNet), 2012 Third International Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4673-1007-9
  • Electronic_ISBN
    978-1-4673-1006-2
  • Type

    conf

  • DOI
    10.1109/ComNet.2012.6217727
  • Filename
    6217727