• DocumentCode
    586213
  • Title

    Block Diagonal Inversion Precoding for MIMO Broadcast Channels

  • Author

    Godana, Bruhtesfa ; Ekman, Torbjörn ; Tesfamicael, Solomon

  • Author_Institution
    Dept. of Electron. & Telecommun., NTNU, Trondheim, Norway
  • fYear
    2012
  • fDate
    3-6 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The sum capacity of a broadcast MIMO channel can be achieved sub-optimally using linear precoding techniques. Block diagonalization (BD) is a linear precoding technique that achieves near to the sum capacity with low complexity by nullifying the inter-user interference. However, one limitation of BD is that the equivalent channel after block diagonalization has to be communicated to the users using additional pilot symbols or a limited feedforward link. The former method increases the system overhead and the latter suffers from quantization error. Transmitter zero forcing may be an alternative but it has a high power enhancement. Besides, transmitter zero forcing lacks flexibility for use in multi-antenna users. In this paper, a new linear precoding technique called Block Diagonalization Inversion (BDI) is proposed. The proposed scheme avoids the need to communicate the equivalent channel by using a combination of block diagonalization and partial inversion of the equivalent channel at the transmitter. BDI enables per-stream power alloca- tion and adaptive modulation like BD; besides, BDI has a lower power enhancement than transmitter zero forcing. It is shown using simulations that BDI achieves a sum rate performance in-between an ideal BD and transmitter zero forcing. When a limited feedforward link is used with BD, it is demonstrated that BDI provides higher sum rate than BD.
  • Keywords
    MIMO communication; adaptive modulation; broadcast channels; feedforward; interference (signal); quantisation (signal); BDI; MIMO broadcast channels; adaptive modulation; block diagonal inversion precoding; feedforward link; inter-user interference; linear precoding; power allocation; quantization error; transmitter zero forcing; Downlink; Feedforward neural networks; MIMO; Resource management; Signal to noise ratio; Transmitters; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2012 IEEE
  • Conference_Location
    Quebec City, QC
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4673-1880-8
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VTCFall.2012.6399135
  • Filename
    6399135