By Topic

Numerical capacity analysis of time varying fading channels using finite state Markov models

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
P. Sadeghi ; Sch. of Electr. Eng. & Telecomm., New South Wales Univ., Kensington, NSW, Australia ; P. B. Rapajic ; S. J. Johnson

The effect of channel gain quantization on the information capacity of unknown time varying flat fading channels is investigated. The phase and/or amplitude of the flat fading channel gain is modelled as a finite state Markov (FSM) process and the information capacity of the FSM channel is calculated numerically as a measure for choosing the number of channel quantization levels, as well as quantization thresholds. The results indicate that for binary signalling, the capacity is saturated beyond 8 to 16 levels of phase and 8 to 16 levels of amplitude quantization.

Published in:

Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on

Date of Conference:

27 June-2 July 2004