• DocumentCode
    1443085
  • Title

    The capacity region of broadcast channels with intersymbol interference and colored Gaussian noise

  • Author

    Goldsmith, Andrea J. ; Effros, Michelle

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA, USA
  • Volume
    47
  • Issue
    1
  • fYear
    2001
  • fDate
    1/1/2001 12:00:00 AM
  • Firstpage
    219
  • Lastpage
    240
  • Abstract
    We derive the capacity region for a broadcast channel with intersymbol interference (ISI) and colored Gaussian noise under an input power constraint. The region is obtained by first defining a similar channel model, the circular broadcast channel, which can be decomposed into a set of parallel degraded broadcast channels. The capacity region for parallel degraded broadcast channels is known. We then show that the capacity region of the original broadcast channel equals that of the circular broadcast channel in the limit of infinite block length, and we obtain an explicit formula for the resulting capacity region. The coding strategy used to achieve each point on the convex hull of the capacity region uses superposition coding on some or all of the parallel channels and dedicated transmission on the others. The optimal power allocation for any point in the capacity region is obtained via a multilevel water-filling. We derive this optimal power allocation and the resulting capacity region for several broadcast channel models
  • Keywords
    Gaussian noise; broadcast channels; channel capacity; intersymbol interference; ISI; broadcast channels; capacity region; circular broadcast channel; coding strategy; colored Gaussian noise; convex hull; input power constraint; intersymbol interference; multilevel water-filling; optimal power allocation; parallel degraded broadcast channels; superposition coding; Broadcasting; Channel capacity; Colored noise; Degradation; Discrete Fourier transforms; Engineering profession; Gaussian channels; Gaussian noise; Interference constraints; Intersymbol interference;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.904524
  • Filename
    904524