Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/16273
Title: | A Source-Channel Separation Theorem with Application to the Source Broadcast Problem |
Authors: | Khezeli, Kia |
Advisor: | Chen, Jun |
Department: | Electrical and Computer Engineering |
Keywords: | Network Information Theory;Broadcast Channels;Joint Source Channel Coding;Gaussian Broadcast Channel;Separation Theorem;Side Information |
Publication Date: | Nov-2014 |
Abstract: | A converse method is developed for the source broadcast problem. Specifically, it is shown that the separation architecture is optimal for a variant of the source broadcast problem and the associated source-channel separation theorem can be leveraged, via a reduction argument, to establish a necessary condition for the original problem, which uni es several existing results in the literature. Somewhat surprisingly, this method, albeit based on the source-channel separation theorem, can be used to prove the optimality of non-separation based schemes and determine the performance limits in certain scenarios where the separation architecture is suboptimal. |
URI: | http://hdl.handle.net/11375/16273 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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thesis.pdf | Main article | 509.53 kB | Adobe PDF | View/Open |
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