Statistical Modeling And Simulation Of Small Scale Fast Fading Wireless Channel

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Communication system performance is eventually determined by the medium through which thernmessage signal passes. Wireless channels differ from wired channels, e.g., due to their unreliablernbehavior. Communication over wireless channel becomes very difficult due to the randomness ofrnthe wireless channel. Though it is so difficult to analyse, it puts fundamental limitation on therncommunication performance.rnPerformance Measurement of wireless fading channel is done by mathematical modeling andrnsimulation of the parameters of the channel. Since the channel is random, statistical modeling isrnpreferred to evaluate using the 1st and 2nd order statistics of the channel transfer function. Thernsum of sinusoid (SOS) model and the impulse response model work for a terminal moving with arnconstant speed. But real world communication terminals may be at rest, in motion with constantrnspeed, varying speed both in magnitude and direction. So, the model which represents all statesrnof motion and comparison of this model with pre-existing SOS model is to be presented in thisrnthesis. After the mathematical modeling is made, the performance of fast fading and frequencyrnselective fading channel are to be measured. The main parameters used to measure the smallrnscale fading channel are fading probability, fading rate (level crossing rate), fading duration andrnBER.rnThe effect of the multipath parameters (number of path, delay spread and power delay profile) onrnthe BER of the frequency selective channel are presented. Besides to this, the effects of the speedrnof the mobile terminal and the bit period on the fading rate, fading duration and the BER of thernfast fading channel is presented. Finally, for large values of the multipath parameters, channelrnperformance is low and for constant bit period if the speed of mobile terminal is large, channelrnvariation is large so that BER, fading rate and fading duration of fast fading channel increases.rnKey words: statistical modeling, small scale fading channel, fast fading channel, performance of fading channel

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Statistical Modeling And Simulation Of Small Scale Fast Fading Wireless Channel

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