DocumentCode :
3274349
Title :
Convex-programming bounds on the capacity of flat-fading channels
Author :
Lapidoth, Amos ; Moser, Stefan M.
Author_Institution :
Signal & Inf. Process. Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland
fYear :
2001
fDate :
2001
Firstpage :
52
Abstract :
We propose a technique to derive analytic upper bounds on channel capacity via its dual expression. This is demonstrated on single- and multi-antenna flat fading channels where the receiver has no side information regarding the pathwise realisation of the fading process. The results indicate that the capacity of such channels typically grows double-logarithmically in the SNR and not logarithmically as the piecewise constant fading models predict
Keywords :
channel capacity; convex programming; fading channels; noise; transmitting antennas; SNR; analytic upper bounds; convex-programming bounds; dual expression; flat-fading channel capacity; i.i.d. fading; multi-antenna flat fading channels; piecewise constant fading models; probability measure; single-antenna flat fading channels; transmitting antenna; Channel capacity; Eigenvalues and eigenfunctions; Entropy; Fading; Gaussian channels; Gaussian distribution; Gaussian processes; H infinity control; Rayleigh channels; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7123-2
Type :
conf
DOI :
10.1109/ISIT.2001.935915
Filename :
935915
Link To Document :
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