• DocumentCode
    2429443
  • Title

    Multiuser precoding and scheduling algorithm for spatial correlation-aided Ricean fading channel

  • Author

    Liu, Jianguo ; Yang, Luxi ; He, Zhengya

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing
  • fYear
    2008
  • fDate
    7-11 June 2008
  • Firstpage
    259
  • Lastpage
    264
  • Abstract
    In order to exploit multiuser diversity gain and spatial multiplexing gain for multi-user MIMO system with spatial correlation Ricean fading channel, a joint multi-user precoding and scheduling algorithm is proposed based on partial channel state information (CSI). Utilizing partial instantaneous CSI and statistical CSI for all users, the base station (BS) estimates the channel for each user using constrained maximum likelihood (CML) approach, and then schedules a group of users with optimal precoding using the estimated channels. Simulation results demonstrate that the proposed scheme greatly improves system throughput with a bit of feedback overhead.
  • Keywords
    MIMO systems; Rician channels; channel estimation; diversity reception; feedback; maximum likelihood estimation; multiplexing; multiuser channels; scheduling; channel estimation; channel state information; constrained maximum likelihood approach; feedback overhead; multiuser MIMO system; multiuser diversity gain; multiuser precoding; optimal precoding; scheduling algorithm; spatial correlation-aided Ricean fading channel; spatial multiplexing gain; Channel state information; Fading; Feedback; Feeds; MIMO; Maximum likelihood estimation; Multiaccess communication; Scheduling algorithm; Signal to noise ratio; Transmitting antennas; Channel estimation; Multiuser precoding; Ricean channel; Scheduling algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2008 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-2310-1
  • Electronic_ISBN
    978-1-4244-2311-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2008.4590352
  • Filename
    4590352