The multipath wireless channel is characterized by a correlation bandwidth Bc which is by definition the the inverse of the delay spread time. That is Bc= 1/( Tn-1 - To), where Tn-1 is the largest delay and T0 i s the smallest delay of the received signal at the receiver. If the signal transmitted across this channel is smaller than Bc, then you shall observe flat fading. Frequency selective fading will be observed when the transmitted signal bandwidth is greater than Bc. Then i would propose to model the transmitter and the receiver in matlab/ simulink and connect a Rayleigh fading channel. Set Bc of the channel and vary the bandwidth of the transmitted signal by decreasing the symbol time. When you realize the above conditions you will get flat fading or selective fading according to the above condition.
Yes, you can simulate it in matlab but you must know parameters of transmitter, terrain , other specific conditions etc. While calculating BER it is pertinent to mention here that its also depends on no of samples selected for transmission. Better estimate of BER will be achieved if large no. of bits are selected for transmission. Fading conditions can be varied by changing some parameters.
The multipath wireless channel is characterized by a correlation bandwidth Bc which is by definition the the inverse of the delay spread time. That is Bc= 1/( Tn-1 - To), where Tn-1 is the largest delay and T0 i s the smallest delay of the received signal at the receiver. If the signal transmitted across this channel is smaller than Bc, then you shall observe flat fading. Frequency selective fading will be observed when the transmitted signal bandwidth is greater than Bc. Then i would propose to model the transmitter and the receiver in matlab/ simulink and connect a Rayleigh fading channel. Set Bc of the channel and vary the bandwidth of the transmitted signal by decreasing the symbol time. When you realize the above conditions you will get flat fading or selective fading according to the above condition.