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Source channel separation in energy constrained multiterminal source-channel communications schemes
Daga, Anil Kumar
Daga, Anil Kumar
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Thesis
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2006-12
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Electronic dissertations
Electronic dissertations
Electronic dissertations
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Abstract
Source coding and channel coding are two important parts of a communications
system. Source coding deals with the compression of source data, while channel coding
adds some redundancy to circumvent the channel errors. Source coding and channel
coding can be done either jointly or separately depending on the design issues like
complexity of the system, rate, power, distortion tradeoffs. For optimal performance, all
the parameters should be carefully chosen and optimized.
This thesis looks at the scenarios of multi-terminal communications model where source
and channel separation will not degrade the performance of the system in terms of rate
power and distortion tradeoffs. Specifically, we investigate the transmission of data from
correlated sources over an orthogonal multiple access channel under a total power
constraint.
It is observed that source-channel separation in this particular scenario is possible without
any loss in the performance of the system. For the correlated sources case of the multiterminal communications, we provide an alternate approach for achieving source-channel separation.
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"December 2006."
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Copyright Anil Kumar Daga, 2006. All rights reserved.