Information Theoretic Approach to Finite State Markov Modelling of Time Varying Channels
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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.author | Krusevac, Zarko | |
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dc.contributor.author | Rapajic, Predrag | |
dc.contributor.author | Kennedy, Rodney | |
dc.coverage.spatial | Sydney Australia | |
dc.date.accessioned | 2015-12-13T22:40:54Z | |
dc.date.created | August 30 - September 2 2004 | |
dc.identifier.isbn | 0780384083 | |
dc.identifier.uri | http://hdl.handle.net/1885/78263 | |
dc.description.abstract | 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, 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.publisher | Institute of Electrical and Electronics Engineers (IEEE Inc) | |
dc.relation.ispartofseries | International Symposium on Spread Spectrum Techniques and Applications (ISSSTA 2004) | |
dc.source | Proceedings of the 2004 IEEE International Symposium on Spread Spectrum Techniques and Applications (ISSSTA) | |
dc.source.uri | http://www.isssta2004.org/ | |
dc.subject | Keywords: Approximation theory; Channel capacity; Information theory; Mathematical models; Time varying networks; Communication channels; Time-varying channels; TV-BSC model; Markov processes | |
dc.title | Information Theoretic Approach to Finite State Markov Modelling of Time Varying Channels | |
dc.type | Conference paper | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
dc.date.issued | 2004 | |
local.identifier.absfor | 090609 - Signal Processing | |
local.identifier.ariespublication | MigratedxPub6933 | |
local.type.status | Published Version | |
local.contributor.affiliation | Krusevac, Zarko, University of New South Wales | |
local.contributor.affiliation | Rapajic, Predrag, University of New South Wales | |
local.contributor.affiliation | Kennedy, Rodney, College of Engineering and Computer Science, ANU | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.startpage | 97 | |
local.bibliographicCitation.lastpage | 101 | |
local.identifier.doi | 10.1109/ISSSTA.2004.1371671 | |
dc.date.updated | 2015-12-11T09:57:41Z | |
local.identifier.scopusID | 2-s2.0-26944478947 | |
Collections | ANU Research Publications |
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