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

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

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

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