• DocumentCode
    629309
  • Title

    Performance of dual-polarized MIMO MC-IDMA system for downlink communications

  • Author

    Vishvaksenan, K.S. ; Seshasayanan, R. ; Jeny, J. Jasper Beusan

  • Author_Institution
    Electron. & Commun. Eng. Dept., SSN Coll. of Eng., Chennai, India
  • fYear
    2013
  • fDate
    3-5 April 2013
  • Firstpage
    341
  • Lastpage
    346
  • Abstract
    In this contribution, we investigate the performance of dual-polarized multi input multi output (MIMO) multi-carrier interleave division multiple access system (MC-IDMA) over correlated frequency selective channels in the presence of channel state estimation error. In the code division multiple access (CDMA), orthogonal spreading sequence is used as user specific where as in IDMA, user specific interleaving pattern is used. In our considered work, Multi-carrier (MC) is realized by orthogonal frequency division multiplexing (OFDM). The channel is estimated at the mobile stations (MSs) by pilot assisted channel estimation (PACE) technique using minimum mean square error (MMSE) algorithm. Further, the dual-polarized MIMO system considered in our work which is realized with the aid of orthogonal polarizations, replaces two spatially separated uni-polarized antennas, thus resulting in polarization multiplexing. In particular, we evaluate the effects of three types of delay spread on MIMO MC-IDMA system in the context of downlink (DL) communications pertaining to the Standard University Interim (SUI) channel model. In a multi-user environment, users experience multi stream interference (MSI) in addition to the multiple access interference (MAI) and these interferences can degrade the system performance. Furthermore, we consider turbo code as channel encoder for MIMO MC-IDMA system to mitigate the effects of MAI and MSI. It is discerned from the simulation results that dual-polarized MIMO MC-IDMA system is capable of supporting many users and performs better in terms of achievable bit error rate (BER) in the context of DL communications with reduced number of antennas.
  • Keywords
    MIMO communication; OFDM modulation; channel estimation; code division multiple access; error statistics; frequency selective surfaces; least mean squares methods; polarisation; turbo codes; CDMA; MAI; MMSE algorithm; MS; MSI; OFDM; PACE technique; bit error rate; channel state estimation error; code division multiple access; correlated frequency selective channels; downlink communications; dual-polarized MIMO MC-IDMA system; dual-polarized multi input multi output multi-carrier interleave division multiple access system; minimum mean square error algorithm; mobile stations; multi stream interference; multiple access interference; orthogonal frequency division multiplexing; orthogonal spreading sequence; pilot assisted channel estimation technique; polarization multiplexing; standard university interim channel model; turbo code; uni-polarized antennas; Antennas; Bit error rate; Channel estimation; Channel models; MIMO; Multiaccess communication; Turbo codes; Polarization diversity; SUI channel model; multi-user detection (MUD); multiple access interference (MAI) multi Stream interference (MSI); multiple input multiple output (MIMO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2013 International Conference on
  • Conference_Location
    Melmaruvathur
  • Print_ISBN
    978-1-4673-4865-2
  • Type

    conf

  • DOI
    10.1109/iccsp.2013.6577071
  • Filename
    6577071