Title :
Gaussian Fading is the Worst Fading
Author :
Koch, Tobias ; Lapidoth, Amos
Author_Institution :
Lab. of Signal & Inf. Process., ETH Zurich
Abstract :
The capacity of pear-power limited, single-antenna, non-coherent, 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 given spectral distribution function whose law has no mass point at zero, the Gaussian process gives rise to the smallest pre-log
Keywords :
Gaussian channels; antennas; channel capacity; fading channels; Gaussian fading; SNR; channel capacity; ergodic fading processes; flat-fading channels; pear-power limited capacity; signal-to-noise ratio; single-antenna; spectral distribution function; Additive noise; Channel capacity; Distribution functions; Fading; Gaussian processes; H infinity control; Information processing; Limiting; Signal processing; Signal to noise ratio;
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
DOI :
10.1109/ISIT.2006.261591