Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Finite-State Markov Modeling of Fading Channels

dc.contributor.authorSadeghi, Parastoo
dc.contributor.authorKennedy, Rodney
dc.contributor.authorRapajic, Predrag
dc.contributor.authorShams, Ramtin
dc.date.accessioned2015-12-08T22:23:39Z
dc.date.issued2008
dc.date.updated2015-12-08T08:54:09Z
dc.description.abstractWireless communication systems that operate through fading channels have become more diverse and complex. In the last ten years, there has been a growing interest for research and development of advanced wireless communications systems that employ multicarrier (MC) techniques. So far, applications of FSMC models for fading channels has been mainly limited to single carrier (SC) communications with very few exceptions [24], [47]. FSMC models are particulary suitable to represent and estimate the relatively fast flat-fading channel gain in each subcarrier. An unexplored avenue for research is to find appropriate FSMC models to represent MC fading channels. However, the number of TV-FFC gains to be modeled in the MC system is often much higher than in a SC system and a major challenge would be to keep the number of FSMC states to computationally manageable levels.
dc.identifier.issn1070-9908
dc.identifier.urihttp://hdl.handle.net/1885/32961
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Signal Processing Letters
dc.subjectKeywords: Cellular telephone systems; Chlorine compounds; Communication systems; Computer networks; Digital signal processing; Global system for mobile communications; Mobile computing; Semiconductor counters; Adaptation model; Fading; Gain; Hidden Markov models; I Adaptation model; Fading; Gain; Hidden Markov models; Indexes; Integrated circuit modeling; Receivers
dc.titleFinite-State Markov Modeling of Fading Channels
dc.typeJournal article
local.bibliographicCitation.issue5
local.bibliographicCitation.lastpage80
local.bibliographicCitation.startpage57
local.contributor.affiliationSadeghi, Parastoo, College of Engineering and Computer Science, ANU
local.contributor.affiliationKennedy, Rodney, College of Engineering and Computer Science, ANU
local.contributor.affiliationRapajic, Predrag , University of Greenwich
local.contributor.affiliationShams, Ramtin, College of Engineering and Computer Science, ANU
local.contributor.authoruidSadeghi, Parastoo, u4267276
local.contributor.authoruidKennedy, Rodney, u8607590
local.contributor.authoruidShams, Ramtin, u4374676
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor080401 - Coding and Information Theory
local.identifier.absfor090609 - Signal Processing
local.identifier.ariespublicationu4334215xPUB97
local.identifier.citationvolume25
local.identifier.doi10.1109/MSP.2008.926683
local.identifier.scopusID2-s2.0-50949094677
local.identifier.thomsonID000258768400005
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Sadeghi_Finite-State_Markov_Modeling_2008.pdf
Size:
2.02 MB
Format:
Adobe Portable Document Format