A Graph-based Framework for Transmission of Correlated Sources over Broadcast Channels

dc.creatorChoi, Suhan
dc.creatorPradhan, S. Sandeep
dc.date2006-08-01
dc.date.accessioned2026-07-07T08:16:40Z
dc.date.available2026-07-07T08:16:40Z
dc.descriptionIn this paper we consider the communication problem that involves transmission of correlated sources over broadcast channels. We consider a graph-based framework for this information transmission problem. The system involves a source coding module and a channel coding module. In the source coding module, the sources are efficiently mapped into a nearly semi-regular bipartite graph, and in the channel coding module, the edges of this graph are reliably transmitted over a broadcast channel. We consider nearly semi-regular bipartite graphs as discrete interface between source coding and channel coding in this multiterminal setting. We provide an information-theoretic characterization of (1) the rate of exponential growth (as a function of the number of channel uses) of the size of the bipartite graphs whose edges can be reliably transmitted over a broadcast channel and (2) the rate of exponential growth (as a function of the number of source samples) of the size of the bipartite graphs which can reliably represent a pair of correlated sources to be transmitted over a broadcast channel.
dc.description36 pages, 9 figures
dc.identifierhttps://arxiv.org/abs/cs/0608006
dc.identifierhttp://arxiv.org/abs/cs/0608006
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/133861
dc.subjectInformation Theory
dc.titleA Graph-based Framework for Transmission of Correlated Sources over Broadcast Channels
dc.typetext

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