Title :
Gaussian Fading Is the Worst Fading
Author :
Koch, Tobias ; Lapidoth, Amos
Author_Institution :
Dept. of Inf. Technol. & Electr. Eng., ETH Zurich, Zurich, Switzerland
fDate :
3/1/2010 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2009.2039036