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Numerical Capacity Analysis of Time Varying Fading Channels Using Finite State Markov Models

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dc.contributor.authorSadeghi, Parastoo
dc.contributor.authorRapajic, Predrag
dc.contributor.authorJohnson, Sarah J
dc.coverage.spatialChicago USA
dc.date.accessioned2015-12-08T22:10:14Z
dc.date.createdJune 27 2004
dc.date.issued2004
dc.date.updated2015-12-08T07:30:52Z
dc.description.abstractWe investigate the effect of channel gain quantization on the information capacity of unknown time varying flat fading channels. The phase and/or amplitude of the flat fading channel gain is modelled as a finite state Markov (FSM) process and the information capacity of the FSM channel is calculated numerically as a measure for choosing the number of channel quantization levels, as well as quantization thresholds. The results indicate that for binary signalling, the capacity is saturated beyond 8 to 16 levels of phase and 8 to 16 levels of amplitude quantization.
dc.identifier.isbn0780382803
dc.identifier.urihttp://hdl.handle.net/1885/29260
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE International Symposium on Information Theory (ISIT 2004)
dc.sourceProceedings 2004 IEEE International Symposium on Information Theory
dc.source.urihttp://www.isit2004.org/
dc.subjectKeywords: Additive white Gaussian noise (AWGN) channels; Channel quantization; Fading channels; Finite state Markov (FSM) process; Channel capacity; Conformal mapping; Estimation; Gaussian noise (electronic); Information theory; Markov processes; Mathematical model
dc.titleNumerical Capacity Analysis of Time Varying Fading Channels Using Finite State Markov Models
dc.typeConference paper
local.bibliographicCitation.startpage179
local.contributor.affiliationSadeghi, Parastoo, College of Engineering and Computer Science, ANU
local.contributor.affiliationRapajic, Predrag, University of New South Wales
local.contributor.affiliationJohnson, Sarah J, NICTA
local.contributor.authoruidSadeghi, Parastoo, u4267276
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080400 - DATA FORMAT
local.identifier.ariespublicationu4010714xPUB64
local.identifier.doi10.1109/ISIT.2004.1365216
local.identifier.scopusID2-s2.0-5044245844
local.type.statusPublished Version

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