Numerical Capacity Analysis of Time Varying Fading Channels Using Finite State Markov Models
Date
2004
Authors
Sadeghi, Parastoo
Rapajic, Predrag
Johnson, Sarah J
Journal Title
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Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
We investigate the effect of channel gain quantization on the information capacity of unknown time varying flat fading channels. 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.
Description
Keywords
Keywords: Additive white Gaussian noise (AWGN) channels; Channel quantization; Fading channels; Finite state Markov (FSM) process; Channel capacity; Conformal mapping; Estimation; Gaussian noise (electronic); Information theory; Markov processes; Mathematical model
Citation
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Source
Proceedings 2004 IEEE International Symposium on Information Theory
Type
Conference paper
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2037-12-31