• DocumentCode
    2322738
  • Title

    A novel user scheduling strategy for grouped subcarriers in MIMO-OFDM system

  • Author

    Sayeb, Rahima ; Hamdi, Noureddine

  • Author_Institution
    Commun. Syst. Lab., Manar Univ., Manar, Tunisia
  • fYear
    2012
  • fDate
    March 29 2012-April 1 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, a reduced complexity algorithm is proposed for grouped subcarriers in multiuser MIMO-OFDM system with generalized beamforming (GBF) scheme. In GBF, user antenna outputs are linearly combined with the receive GBF vector to construct an equivalent multiple input single output (MISO) downlink channel for each subcarrier. The scheduler located at the base station allocates groups of subcarriers to users based on the subchannel gains of these groups. The user with maximum variance of subchannel gains is allowed to select his best group of subcarriers in order to maximize the system weighted sum-rate and fairness among users. The system power is simply uniformly allocated to all the subchannels. A selection of simulation results is presented to illustrate the performance of the proposed algorithm.
  • Keywords
    MIMO communication; OFDM modulation; antenna arrays; telecommunication channels; GBF user antenna outputs; GBF vector; MIMO-OFDM system; MISO downlink channel; complexity algorithm; generalized beamforming scheme; grouped subcarriers; multiple input single output; multiuser MIMO-OFDM system; simulation selection; subchannel gains maximum variance; subchannels; system weighted sum-rate; user scheduling strategy; Array signal processing; Complexity theory; Downlink; OFDM; Receiving antennas; Resource management; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking (ComNet), 2012 Third International Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4673-1007-9
  • Electronic_ISBN
    978-1-4673-1006-2
  • Type

    conf

  • DOI
    10.1109/ComNet.2012.6217726
  • Filename
    6217726