Title :
Capacity Results for Block-Stationary Gaussian Fading Channels
Author :
Chen, Jun ; Veeravalli, Venugopal V.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL
Abstract :
We consider a peak-power-limited single-antenna block-stationary Gaussian fading channel where neither the transmitter nor the receiver knows the channel state information, but both know the channel statistics. We compute the asymptotic channel capacity in the high SNR regime. A fundamental interplay between the codeword length, communication rate, and decoding error probability is revealed. We also derive an expression for the capacity per unit energy
Keywords :
Gaussian channels; antennas; channel capacity; channel coding; decoding; error statistics; fading channels; SNR; asymptotic channel capacity; block-stationary Gaussian fading channels; capacity results; channel state information; channel statistics; codeword length; communication rate; decoding error probability; peak-power-limited single-antenna fading channel; Channel capacity; Channel state information; Decoding; Density measurement; Error probability; Fading; Gaussian processes; Signal to noise ratio; Statistics; Transmitters;
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.2006.261622