• DocumentCode
    715448
  • Title

    Gaussian joint source-channel coding for the strong interference channel

  • Author

    Aguerri, Inaki Estella ; Gunduz, Deniz

  • Author_Institution
    Huawei Technol. France, Paris, France
  • fYear
    2015
  • fDate
    April 26 2015-May 1 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Transmission of correlated Gaussian sources over a Gaussian interference channel is studied. Each terminal has one source available, which has to be reconstructed at the corresponding destination with the minimum average distortion. Focusing on the strong interference setting, we first derive necessary conditions on the achievable distortion pairs. Then, focusing on the symmetric scenario, we present achievable distortion pairs considering several transmission strategies. We compare the achievable distortion by the proposed schemes with the lower bound. In particular, we consider separate source and channel coding, uncoded transmission, a vector quantization (VQ) scheme which uses the quantization codewords as channel inputs, and finally a superposition of two quantization codewords. We show that the VQ scheme is optimal in the high SNR regime. We also show that the proposed superposition scheme performs very close to the lower bound in certain regimes.
  • Keywords
    Gaussian processes; channel coding; radio networks; radiofrequency interference; source coding; wireless channels; Gaussian interference channel; Gaussian joint source-channel coding; VQ scheme; channel coding; interference channel; interference setting; minimum average distortion; quantization codewords; source coding; transmission strategies; uncoded transmission; vector quantization; Channel coding; Correlation; Distortion; Integrated circuits; Interference; Receivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2015 IEEE
  • Conference_Location
    Jerusalem
  • Print_ISBN
    978-1-4799-5524-4
  • Type

    conf

  • DOI
    10.1109/ITW.2015.7133109
  • Filename
    7133109