• DocumentCode
    3459031
  • Title

    Opportunistic transmission scheduling for multiuser MIMO systems

  • Author

    Dong, Liang ; Li, Teng ; Huang, Yih-Fang

  • Author_Institution
    Dept. of Electr. Eng., Notre Dame Univ., IN, USA
  • Volume
    5
  • fYear
    2003
  • fDate
    6-10 April 2003
  • Abstract
    An opportunistic transmission scheduling scheme is proposed to make better use of the multiuser diversity gain in a MIMO system. The performance of a MIMO link is quantified by its information-theoretic capacity. Even though the base station has no knowledge of the transmission channel, the proposed algorithm generates a transmission randomizing matrix according to the distribution of the channel, so that it is likely that some user is near the "water-filling" configuration. The mobile users measure and feedback the channel quality. Based on this information, the base station schedules transmission to the user whose instantaneous channel capacity is the largest. Simulation results show that, over slow varying channels, or over Rician channels with a large K factor, opportunistic transmission scheduling can improve system performance in terms of channel capacity.
  • Keywords
    MIMO systems; Rician channels; channel capacity; feedback; matrix algebra; mobile radio; multiuser channels; scheduling; time-varying channels; Rician channels; base station; channel quality; feedback; information-theoretic capacity; instantaneous channel capacity; mobile users; multiuser MIMO systems; multiuser diversity gain; opportunistic transmission scheduling; slow varying channels; system performance; transmission randomizing matrix; water-filling configuration; Array signal processing; Base stations; Channel capacity; Covariance matrix; Diversity methods; MIMO; Receiving antennas; Rician channels; Scheduling; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7663-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2003.1199869
  • Filename
    1199869