Numerical Capacity Analysis of Time Varying Fading Channels Using Finite State Markov Models
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...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings 2004 IEEE International Symposium on Information Theory|
|01_Sadeghi_Numerical_Capacity_Analysis_of_2004.pdf||94.59 kB||Adobe PDF|
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