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Information Theoretic Approach to Finite State Markov Modelling of Time Varying Channels

Krusevac, Zarko; Rapajic, Predrag; Kennedy, Rodney

Description

The time varying binary symmetric channel (TV-BSC) model is presented in this paper. The TV-BSC is developed to be the simplest model which captures the most important non-trivial attributes of general time-varying channels. An information theoretic analysis verifies that this model holds the essential elements of the behavior of time varying channels. The influence of the channel uncertainty is captured serves to significantly differentiate the TV-BSC model from other two-state Markov models,...[Show more]

dc.contributor.authorKrusevac, Zarko
dc.contributor.authorRapajic, Predrag
dc.contributor.authorKennedy, Rodney
dc.coverage.spatialSydney Australia
dc.date.accessioned2015-12-13T22:40:54Z
dc.date.createdAugust 30 - September 2 2004
dc.identifier.isbn0780384083
dc.identifier.urihttp://hdl.handle.net/1885/78263
dc.description.abstractThe time varying binary symmetric channel (TV-BSC) model is presented in this paper. The TV-BSC is developed to be the simplest model which captures the most important non-trivial attributes of general time-varying channels. An information theoretic analysis verifies that this model holds the essential elements of the behavior of time varying channels. The influence of the channel uncertainty is captured serves to significantly differentiate the TV-BSC model from other two-state Markov models, especially from the the Gilbert-Elliot model. This elementary form of time varying channel model has the information capacity that is calculated, using several methods. Given this capacity, the most efficient way for the time varying communications channel response estimation can be considered. Finally, accurate approximations for the TV-BSC information capacity are found, providing better inside into the capacity analysis of time varying communication channels.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesInternational Symposium on Spread Spectrum Techniques and Applications (ISSSTA 2004)
dc.sourceProceedings of the 2004 IEEE International Symposium on Spread Spectrum Techniques and Applications (ISSSTA)
dc.source.urihttp://www.isssta2004.org/
dc.subjectKeywords: Approximation theory; Channel capacity; Information theory; Mathematical models; Time varying networks; Communication channels; Time-varying channels; TV-BSC model; Markov processes
dc.titleInformation Theoretic Approach to Finite State Markov Modelling of Time Varying Channels
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2004
local.identifier.absfor090609 - Signal Processing
local.identifier.ariespublicationMigratedxPub6933
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.startpage97
local.bibliographicCitation.lastpage101
local.identifier.doi10.1109/ISSSTA.2004.1371671
dc.date.updated2015-12-11T09:57:41Z
local.identifier.scopusID2-s2.0-26944478947
CollectionsANU Research Publications

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