• DocumentCode
    70144
  • Title

    Coding Schemes and Asymptotic Capacity for the Gaussian Broadcast and Interference Channels With Feedback

  • Author

    Gastpar, Michael ; Lapidoth, Amos ; Steinberg, Yossef ; Wigger, Michele

  • Author_Institution
    Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
  • Volume
    60
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    54
  • Lastpage
    71
  • Abstract
    A coding scheme is proposed for the memoryless Gaussian broadcast channel with correlated noises and feedback. For all noise correlations other than ±1, the gap between the sum-rate that the scheme achieves and the full-cooperation bound vanishes as the signal-to-noise ratio tends to infinity. When the correlation coefficient is -1, the gains afforded by feedback are unbounded and the prelog is doubled. When the correlation coefficient is +1, we demonstrate a dichotomy that if the noise variances are equal, then feedback is useless, and otherwise, feedback affords unbounded rate gains and doubles the prelog. The unbounded feedback gains, however, require perfect (noiseless) feedback. When the feedback links are noisy, the feedback gains are bounded, unless the feedback noise decays to zero sufficiently fast with the signal-to-noise ratio. Extensions to more receivers are also discussed as is the memoryless Gaussian interference channel with feedback.
  • Keywords
    Gaussian channels; broadcast channels; channel coding; memoryless systems; asymptotic capacity; coding scheme; correlated noise; correlation coefficient; feedback links; feedback noise; full-cooperation bound; memoryless Gaussian broadcast channel; memoryless Gaussian interference channel; noise correlation; noise variances; prelog; signal-to-noise ratio; unbounded feedback gains; unbounded rate gains; Correlation; Encoding; Noise measurement; Receivers; Signal to noise ratio; Transmitters; Broadcast channel; capacity; feedback; high SNR; interference channel; prelog;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2013.2287531
  • Filename
    6648703