Sadeghi, ParastooRapajic, PredragJohnson, Sarah J2015-12-08June 27 200780382803http://hdl.handle.net/1885/29260We 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.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 model200410.1109/ISIT.2004.13652162015-12-08