• DocumentCode
    2949196
  • Title

    Orthogonalization aided distributed scheduling for MU-MIMO BC with adaptive feedback

  • Author

    Li Zhao ; Jiawei, Yang

  • Author_Institution
    State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´´an, China
  • fYear
    2009
  • fDate
    13-15 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we introduce an orthogonalization aided distributed scheduling algorithm for multiuser MIMO broadcast channels (MU-MIMO BC). In this algorithm each mobile station (MS) selects transmission scheme, including beamforming (BF) and spatial multiplexing (SM) according to its channel state and feeds back channel state information (CSI) adaptively. On receiving CSI from each MS, the base station (BS) activates user subset and an orthogonalization based precoding scheme is applied to eliminate co-channel interference (CCI). The proposed user scheduling algorithm is carried out by MSs and BS corporately. The system feedback load depends on each MS´s channel quality. Compared with existing methods, the proposed scheme can achieve high system capacity as well as better BER performance.
  • Keywords
    MIMO communication; broadcast channels; cochannel interference; error statistics; multiuser channels; scheduling; BER; MU-MIMO BC; adaptive feedback; base station; beamforming; bit error rate; channel state information; co-channel interference; mobile station; multiuser MIMO broadcast channels; orthogonalization aided distributed scheduling algorithm; orthogonalization based precoding scheme; spatial multiplexing; Array signal processing; Base stations; Broadcasting; Channel state information; Feedback; Feeds; Interchannel interference; MIMO; Samarium; Scheduling algorithm; Broadcast channel; Feedback; Multiuser MIMO; Orthogonalization; Precoding; Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4856-2
  • Electronic_ISBN
    978-1-4244-5668-0
  • Type

    conf

  • DOI
    10.1109/WCSP.2009.5371469
  • Filename
    5371469