An Integrated Framework For Enhancing User Experience For Different Data Services In Multi-rate Wireless Systems
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Abstract
Technological advances in multi--rate wireless
systems have made wireless data
services an intrinsic part of human life. An abundance
of wireless devices, both in the wireless enabled home multimedia
systems as well as in corporate offices, have trigerred
an array of research in enhancing the wireless data services.
The success and acceptance of these various rich data services
Technological advances in multi--rate wireless
systems have made wireless data
services an intrinsic part of human life. An abundance
of wireless devices, both in the wireless enabled home multimedia
systems as well as in corporate offices, have trigerred
an array of research in enhancing the wireless data services.
The success and acceptance of these various rich data services depends on satisfying the user experience derived from such services.\
In this thesis, we first focus on identifying and exposing the important parameters,
specfically network parameters pertaining to the multi--rate wireless systems,
which hinder user satisfaction for a wireless multimedia system.
Subsequently, we provide an integrated framework which encapsulates
channel estimation techniques, scheduling algorithms specifically catering
to the issues in multi--rate wireless systems and mobility solutions
for improving user experience.
We startoff by performing theoretical modeling of how user satisfaction for the
various data services vary with different network impediments. The insights
reveal that the traditional metrics \textit{throughput}, \textit{connectivity}
and \textit{delay} constraints hold very much for the upcoming multi--rate wireless
multimedia systems. However, the intelligence lies in tackling these
constraints at specific layers in the protocol stack.
Experimental data reveals that loss and delay variations in the multimedia
stream results in Audio--Video Synchronization issues leading
to severe degradation of the multimedia experience. We develop
accurate channel estimation techniques specifically for multi--rate
wireless systems which enhance the throughput of the system.
Thereafter couple the proposed channel estimation technique
with scheduling algorithms specifically designed for multi--rate
wireless systems which vastly improves the performance of the
system in terms of effective throughput and user satisfaction.
Rate adaptation techniques are also proposed.
Connectivity which completely breaks down the service is a serious issue
with Wi--Fi devices since the transmission range is limited (