• DocumentCode
    1437625
  • Title

    Gaussian Fading Is the Worst Fading

  • Author

    Koch, Tobias ; Lapidoth, Amos

  • Author_Institution
    Dept. of Inf. Technol. & Electr. Eng., ETH Zurich, Zurich, Switzerland
  • Volume
    56
  • Issue
    3
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    1158
  • Lastpage
    1165
  • Abstract
    The capacity of peak-power limited, single-antenna, noncoherent, flat-fading channels with memory is considered. The emphasis is on the capacity pre-log, i.e., on the limiting ratio of channel capacity to the logarithm of the signal-to-noise ratio (SNR), as the SNR tends to infinity. It is shown that, among all stationary and ergodic fading processes of a given spectral distribution function and whose law has no mass point at zero, the Gaussian process gives rise to the smallest pre-log. The assumption that the law of the fading process has no mass point at zero is essential in the sense that there exist stationary and ergodic fading processes whose law has a mass point at zero and that give rise to a smaller pre-log than the Gaussian process of equal spectral distribution function. An extension of these results to multiple-input single-output (MISO) fading channels with memory is also presented.
  • Keywords
    Gaussian channels; channel capacity; fading channels; Gaussian fading; ergodic fading processes; flat-fading channel capacity; multiple-input single-output fading channels; noncoherent channel capacity; peak-power limited channel capacity; signal-to-noise ratio; single-antenna channel capacity; spectral distribution function; Additive noise; Channel capacity; Distribution functions; Fading; Gaussian processes; H infinity control; Information technology; Information theory; Signal to noise ratio; Transmitters; Channel capacity; channels with memory; fading channels; flat fading; high signal-to-noise ratio (SNR); multiplexing gain; noncoherent; time-selective;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2009.2039036
  • Filename
    5429105