• DocumentCode
    1178000
  • Title

    A close-to-capacity dirty paper coding scheme

  • Author

    Erez, Uri ; ten Brink, Stephan

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • Volume
    51
  • Issue
    10
  • fYear
    2005
  • Firstpage
    3417
  • Lastpage
    3432
  • Abstract
    The "writing on dirty paper"-channel model offers an information-theoretic framework for precoding techniques for canceling arbitrary interference known at the transmitter. It indicates that lossless precoding is theoretically possible at any signal-to-noise ratio (SNR), and thus dirty-paper coding may serve as a basic building block in both single-user and multiuser communication systems. We design an end-to-end coding realization of a system materializing a significant portion of the promised gains. We employ multidimensional quantization based on trellis shaping at the transmitter. Coset decoding is implemented at the receiver using "virtual bits." Combined with iterative decoding of capacity-approaching codes we achieve an improvement of 2dB over the best scalar quantization scheme. Code design is done using the EXIT chart technique.
  • Keywords
    channel capacity; channel coding; interference suppression; iterative decoding; least mean squares methods; multiuser channels; trellis codes; vector quantisation; EXIT chart technique; MMSE; capacity-approaching codes; channel coding; coset decoding; dirty-paper coding; end-to-end coding; interference cancellation; iterative decoding; minimum mean-squared error estimation; multiuser communication; mutual information; precoding technique; repeat-accumulate codes; single-user systems; trellis shaping; vector quantization; AWGN; Communication systems; Interference cancellation; Interference constraints; Iterative decoding; MIMO; Multidimensional systems; Quantization; Signal to noise ratio; Transmitters; Dirty paper coding; EXIT chart; interference cancellation; iterative decoding; minimum mean-squared error (MMSE) estimation; mutual information; repeat–accumulate (RA) codes; vector quantization;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2005.855586
  • Filename
    1512417