Study and Analysis of Cooperative Diversity Communication Systems Under Various Fading Channel Environments
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Abstract
The propagation of a radio wave through the wireless medium is affected by a host of
impairments. Fading is one such phenomenon which has been an area of significant
research for the evaluation of the performance of a digital communication system.
Based on the nature of the radio propagation medium, a variety of statistical
modelsare used to characterize the fading of a wireless signal.
Diversity is one of the prime techniques to deal with the severity induced in a signal
transmitted over a fading channel. The goal for a system designer is to arrive at a
unified set of mathematical models characterized by diversity combining schemes.
Spatial diversity is a well known method to generate independent communication
paths between the sender and the receiver through the use of multiple antennas at the
transmitter and/or receiver. A recent method to achieve spatial diversity is the
cooperative diversity communication. It makes use of the mobile users in a network to
relay the original source signal to the destination which creates a virtual form of
multiple-input and multiple-output antenna array system.
In a cooperative communication system, it is possible to deter the effects of
shadowing and deep fading both of which severely affect the quality of signal
transmitted in a wireless network. The mobile user which acts as the relay node
processes the original signal received from the source and retransmits it to the
destination. The resultant signal at the receiver is analyzed using different parameters
to bring improvement in the overall performance of the communication system.
The objective of this dissertation is to present a holistic analysis of the performance of
a cooperative communication system under different fading channel conditions. The
performance evaluation is done analytically as well as through Monte Carlo
simulation to achieve performance curves for a variety of modulation schemes over a
range of signal-to-noise ratios.
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