• DocumentCode
    883260
  • Title

    MU-MIMO channel adapted precoding for MAI/ISI-free uplink burst transmission

  • Author

    Horlin, François ; Vandendorpe, L.

  • Author_Institution
    Wireless Syst. Group, Interuniversity Micro-Electron. Center, Leuven, Belgium
  • Volume
    52
  • Issue
    1
  • fYear
    2004
  • Firstpage
    100
  • Lastpage
    109
  • Abstract
    This paper considers the uplink of a multiuser direct-sequence code-division multiple-access communication system based on burst transmission over frequency-selective channels. A new precoding method is presented that is able to take benefit from the space diversity introduced at the mobile transmitters and at the common receiver. User-specific spreading codes are designed so that filters matched to the total impulse responses can remove completely the interference and maximize the signal-and-interference-plus-noise ratios. It is analytically proved that an infinite number of solutions is available to orthogonalize the system. Three particular solutions are considered. A progressive solution is firstly proposed to provide orthogonality in a simple way. Then a near-optimum solution is proposed to orthogonalize the system while attempting to reduce the total transmitted power. The minimization of the total transmitted power is a complex problem of nonlinear optimization that can only be solved using an iterative algorithm. The third solution proposed is based on an iterative algorithm. Those three solutions are analyzed in term of their different performance for a varying number of transmit and receive antennas. A comparison is also provided with a system using a conventional set of binary codes and linear or decision-feedback minimum mean-square error joint detection. It is shown that the near-optimum and iterative solutions are the only ones that are able to fully benefit from the space diversity.
  • Keywords
    MIMO systems; adaptive codes; adaptive decoding; channel coding; code division multiple access; diversity reception; interference suppression; iterative methods; mobile radio; radiofrequency interference; spread spectrum communication; ISI; MAI; MU-MIMO channel adaptive precoding; adaptive codes; common receiver; direct-sequence code-division multiple access communication system; frequency-selective channels; impulse response; interference removal; iterative algorithm; matched filters; mobile transmitters; multiuser multiinput-multioutput channel; nonlinear optimization; power transmission reduction; receive antennas; signal-and-interference-plus noise ratio; space diversity; system orthogonalization; time-dispersive channels; transmit antennas; uplink burst transmission; user-specific spreading codes; Frequency; Iterative algorithms; Matched filters; Minimization methods; Multiaccess communication; Multiple access interference; Performance analysis; Receiving antennas; Signal design; Transmitters;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2003.822177
  • Filename
    1264199