• DocumentCode
    178670
  • Title

    Uplink performance of massive MIMO subject to delayed CSIT and anticipated channel prediction

  • Author

    Papazafeiropoulos, Anastasios K. ; Ratnarajah, Tharm

  • Author_Institution
    Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    3162
  • Lastpage
    3165
  • Abstract
    We consider a realistic cellular multi-user uplink channel with an excess of base station (BS) antennas, where the number of BS antennas and the number of users per cell increase at the same rate. Specifically, we investigate the negative impact of delayed channel state information at the transmitter (CSIT), when a minimum-mean-square-error (MMSE) detector is applied. Nevertheless, channel prediction is used for overcoming delayed CSIT degradation. We provide the asymptotic signal-to-interference-plus-noise ratios (SINRs) that demonstrate not only their dependence on delayed and predicted CSIT, but also the outperformance of MMSE against maximal ratio combiner (MRC). The deterministic nature of the results renders them easily computed, while simulations show their accuracy even for practical system dimensions.
  • Keywords
    MIMO communication; cellular radio; diversity reception; mean square error methods; CSIT; MMSE detector; MRC; Uplink performance; anticipated channel prediction; asymptotic signal-to-interference-plus-noise ratio; base station antennas; cellular multi-user uplink channel; channel prediction; delayed channel state information at the transmitter; massive MIMO; maximal ratio combiner; minimum-mean-square-error detector; Antennas; Detectors; Doppler shift; Interference; MIMO; Signal to noise ratio; Uplink;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854183
  • Filename
    6854183