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Addis Ababa University Libraries Electronic Thesis and Dissertations: AAU-ETD! >
Faculty of Technology >
Thesis - Computer Engineering >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/3543
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| Title: | Statistical Modeling and Simulation of Small Scale Fast Fading Wireless Channel |
| Authors: | Berhane, Tekle |
| Advisors: | Dr.-Ing Hailu Ayele |
| Keywords: | statistical modeling
small scale fading channel
fast fading channel
performance of fading channel |
| Copyright: | Jun-2011 |
| Date Added: | 3-Aug-2012 |
| Abstract: | Communication system performance is eventually determined by the medium through which the
message signal passes. Wireless channels differ from wired channels, e.g., due to their unreliable
behavior. Communication over wireless channel becomes very difficult due to the randomness of
the wireless channel. Though it is so difficult to analyse, it puts fundamental limitation on the
communication performance.
Performance Measurement of wireless fading channel is done by mathematical modeling and
simulation of the parameters of the channel. Since the channel is random, statistical modeling is
preferred to evaluate using the 1st and 2nd order statistics of the channel transfer function. The
sum of sinusoid (SOS) model and the impulse response model work for a terminal moving with a
constant speed. But real world communication terminals may be at rest, in motion with constant
speed, varying speed both in magnitude and direction. So, the model which represents all states
of motion and comparison of this model with pre-existing SOS model is to be presented in this
thesis. After the mathematical modeling is made, the performance of fast fading and frequency
selective fading channel are to be measured. The main parameters used to measure the small
scale fading channel are fading probability, fading rate (level crossing rate), fading duration and
BER.
The effect of the multipath parameters (number of path, delay spread and power delay profile) on
the BER of the frequency selective channel are presented. Besides to this, the effects of the speed
of the mobile terminal and the bit period on the fading rate, fading duration and the BER of the
fast fading channel is presented. Finally, for large values of the multipath parameters, channel
performance is low and for constant bit period if the speed of mobile terminal is large, channel
variation is large so that BER, fading rate and fading duration of fast fading channel increases. |
| URI: | http://hdl.handle.net/123456789/3543 |
| Appears in: | Thesis - Computer Engineering
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