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Concept of Time Varying Binary Symmetric Model - Channel Uncertainty Modeling

Krusevac, Zarko; Rapajic, Predrag; Kennedy, Rodney

Description

In this paper, we develop the concept of Time Varying Bi" nary Symmetric Channel (TV-BSC) model, a basic model that shows a non-trivial influence on capacity due to the channel uncertainty and characterizes the important attributes of more general time varying mobile communications channels. That an influence of the channel uncertainty is captured serves to significantly differentiate the model from other two-state Markov models, especially from the Gilbert-Elliott model. We use several methods...[Show more]

dc.contributor.authorKrusevac, Zarko
dc.contributor.authorRapajic, Predrag
dc.contributor.authorKennedy, Rodney
dc.coverage.spatialSingapore
dc.date.accessioned2015-12-13T22:33:20Z
dc.date.createdSeptember 6 2004
dc.identifier.isbn0780385497
dc.identifier.urihttp://hdl.handle.net/1885/75978
dc.description.abstractIn this paper, we develop the concept of Time Varying Bi" nary Symmetric Channel (TV-BSC) model, a basic model that shows a non-trivial influence on capacity due to the channel uncertainty and characterizes the important attributes of more general time varying mobile communications channels. That an influence of the channel uncertainty is captured serves to significantly differentiate the model from other two-state Markov models, especially from the Gilbert-Elliott model. We use several methods to calculate the information capacity of the TV-BSC. Furthermore, we find accurate approximations for the TV-BSC information capacity, providing better inside into the capacity analysis of general time varying communications channels. Finally, we present the generalization on the TV-BSC model and the concept of the communication channel with time varying memory to further confirm the uniqueness of the model.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE International Conference on Communication Systems (ICCS 2004)
dc.sourceThe Ninth International Conference on Communications Systems, 2004. ICCS 2004
dc.source.urihttp://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=29812&isYear=2004
dc.source.urihttp://ieeexplore.ieee.org/iel5/9396/29812/01359447.pdf?isnumber=29812=STD&arnumber=1359447&arnumber=1359447&arSt=+598&ared=+602&arAuthor=+Krusevac%2C+Z.B.%3B++Rapajic%2C+P.B.%3B++Kennedy%2C+R.A.
dc.subjectKeywords: Communication channels (information theory); Entropy; Information theory; Markov processes; Mathematical models; Mobile telecommunication systems; Probability; Rayleigh fading; Synchronization; Binary symmetric channels (BSC); Gilbert-Elliott model; Marko
dc.titleConcept of Time Varying Binary Symmetric Model - Channel Uncertainty Modeling
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2004
local.identifier.absfor090609 - Signal Processing
local.identifier.ariespublicationMigratedxPub4904
local.type.statusPublished Version
local.contributor.affiliationKrusevac, Zarko, University of New South Wales
local.contributor.affiliationRapajic, Predrag, University of New South Wales
local.contributor.affiliationKennedy, Rodney, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage598
local.bibliographicCitation.lastpage602
dc.date.updated2015-12-11T09:15:49Z
local.identifier.scopusID2-s2.0-14244267160
CollectionsANU Research Publications

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