• DocumentCode
    640122
  • Title

    Achieving the AWGN channel capacity with lattice Gaussian coding

  • Author

    Cong Ling ; Belfiore, Jean-Claude

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
  • fYear
    2013
  • fDate
    7-12 July 2013
  • Firstpage
    1416
  • Lastpage
    1420
  • Abstract
    We propose a new coding scheme using only one lattice that, under lattice decoding, achieves the 1/2 log(1 + SNR) capacity of the additive white Gaussian noise (AWGN) channel, when the signal-to-noise ratio SNR > 3. The scheme applies a discrete Gaussian distribution over an AWGN-good lattice, but does not require a shaping lattice or dither. Thus, it significantly simplifies the default lattice coding scheme of Erez and Zamir which additionally involves a quantization-good lattice. Using the flatness factor, we show that the error probability of the proposed scheme under minimum mean-square error (MMSE) lattice decoding is almost the same as that of Poltyrev´s coding over an infinite lattice, for any rate up to the AWGN channel capacity.
  • Keywords
    AWGN channels; encoding; mean square error methods; AWGN channel capacity; MMSE lattice decoding; additive white Gaussian noise; coding scheme; discrete Gaussian distribution; flatness factor; lattice Gaussian coding; minimum mean-square error; signal-to-noise ratio SNR; AWGN channels; Decoding; Encoding; Error probability; Gaussian distribution; Lattices; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
  • Conference_Location
    Istanbul
  • ISSN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2013.6620460
  • Filename
    6620460