• DocumentCode
    2516924
  • Title

    Broadcasting correlated Gaussians

  • Author

    Bross, Shraga ; Lapidoth, Amos ; Tinguely, Stephan

  • Author_Institution
    Sch. of Eng., Bar-Ilan Univ., Ramat Gan
  • fYear
    2008
  • fDate
    6-11 July 2008
  • Firstpage
    1198
  • Lastpage
    1202
  • Abstract
    We consider a one-to-two Gaussian broadcasting problem where the transmitter observes a memoryless bi-variate Gaussian source and each receiver wishes to estimate one of the source components. The transmitter describes the source pair by means of an average-power-constrained signal and each receiver observes this signal corrupted by a different additive white Gaussian noise. From its respective observation, Receiver 1 wishes to estimate the first source component and Receiver 2 wishes to estimate the second. We seek to characterize the pairs of expected squared-error distortions that are simultaneously achievable at the two receivers. Our result is that below a certain SNR-threshold an ldquouncoded schemerdquo that sends a linear combination of the source components is optimal. We present a lower bound on this threshold in terms of the source correlation and the distortion at the receiver with weaker channel noise.
  • Keywords
    AWGN channels; broadcast channels; channel estimation; correlation methods; memoryless systems; additive white Gaussian noise; average-power-constrained signal; channel noise; memoryless bi-variate Gaussian source; one-to-two correlation Gaussian broadcasting problem; source component estimation; source correlation; squared-error distortion; uncoded scheme; Additive white noise; Broadcasting; Gaussian channels; Gaussian processes; Information processing; Laboratories; Propagation losses; Signal processing; Sufficient conditions; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2008. ISIT 2008. IEEE International Symposium on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-2256-2
  • Electronic_ISBN
    978-1-4244-2257-9
  • Type

    conf

  • DOI
    10.1109/ISIT.2008.4595177
  • Filename
    4595177