• DocumentCode
    2655983
  • Title

    MIMO Downlink Weighted Sum Rate Maximization with Power Constraints per Antenna Groups

  • Author

    Codreanu, M. ; Tölli, A. ; Juntti, M. ; Latva-aho, M.

  • Author_Institution
    Centre for Wireless Commun., Oulu Univ.
  • fYear
    2007
  • fDate
    22-25 April 2007
  • Firstpage
    2048
  • Lastpage
    2052
  • Abstract
    We consider a single-cell multiple-input multiple-output (MIMO) downlink channel where linear transmission and reception strategy is employed. The base station (BS) transmitter is equipped with a scheduler using a simple opportunistic beamforming strategy, which associates an intended user for each of the transmitted data streams. For the case when the channel of the scheduled users is available at the BS, we propose a general method for joint design of linear transmit and receive beamformers, according to weighted sum rate maximization criteria. The proposed method can handle multiple antennas at the BS and at the mobile users with an arbitrary number of data streams per scheduled user. It can also handle a fairly general set of practical power constraints for the transmit beamformers, i.e., we can impose sum power constraints for different subsets of the transmit antennas.
  • Keywords
    MIMO communication; antenna arrays; mobile radio; radio links; transmitting antennas; wireless channels; MIMO downlink weighted sum rate maximization; multiple antennas; opportunistic beamforming strategy; receive beamformers; single-cell multiple-input multiple-output downlink channel; transmit beamformers; Antenna feeds; Array signal processing; Base stations; Design methodology; Downlink; Feedback; MIMO; Mobile antennas; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2007. VTC2007-Spring. IEEE 65th
  • Conference_Location
    Dublin
  • ISSN
    1550-2252
  • Print_ISBN
    1-4244-0266-2
  • Type

    conf

  • DOI
    10.1109/VETECS.2007.424
  • Filename
    4212852