A statistical framework for channel availability modelling in the polarisation domain

5.00
Hdl Handle:
http://hdl.handle.net/10547/333749
Title:
A statistical framework for channel availability modelling in the polarisation domain
Authors:
Velisavljević, Vladan ( 0000-0001-9980-9368 ) ; Allen, Ben; Chatziantoniou, Eleftherios
Abstract:
Cognitive radio has been proposed as a means of improving the spectrum utilisation and increasing spectrum efficiency of wireless systems. This can be achieved by allowing cognitive radio terminals to monitor their spectral environment and opportunistically access the unoccupied frequency channels. Due to the opportunistic nature of cognitive radio, the overall performance of such networks depends on the spectrum occupancy or availability patterns. Appropriate knowledge on channel availability can optimise the sensing performance in terms of spectrum and energy efficiency. This work proposes a statistical framework for the channel availability in the polarization domain. A Gaussian Normal approximation is used to model real-world occupancy data obtained through a measurement campaign in the cellular frequency bands within a realistic scenario.
Affiliation:
University of Bedfordshire
Citation:
Velisavljevic, V., Allen, B., Chatziantoniou, E. (2014) 'A statistical framework for channel availability modelling in the polarisation domain' 2nd Colloquium on Antennas, Wireless and Electromagnetics, London, UK, May 2014. IET Digital Library. Available at: http://digital-library.theiet.org/content/conferences/10.1049/ic.2014.0021
Publisher:
IET
Issue Date:
Mar-2014
URI:
http://hdl.handle.net/10547/333749
DOI:
10.1049/ic.2014.0021
Additional Links:
http://digital-library.theiet.org/content/conferences/10.1049/ic.2014.0021
Type:
Conference papers, meetings and proceedings
Language:
en
ISBN:
9781849198646
Appears in Collections:
Centre for Wireless Research (CWR)

Full metadata record

DC FieldValue Language
dc.contributor.authorVelisavljević, Vladanen
dc.contributor.authorAllen, Benen
dc.contributor.authorChatziantoniou, Eleftheriosen
dc.date.accessioned2014-11-06T09:26:51Zen
dc.date.available2014-11-06T09:26:51Zen
dc.date.issued2014-03en
dc.identifier.citationVelisavljevic, V., Allen, B., Chatziantoniou, E. (2014) 'A statistical framework for channel availability modelling in the polarisation domain' 2nd Colloquium on Antennas, Wireless and Electromagnetics, London, UK, May 2014. IET Digital Library. Available at: http://digital-library.theiet.org/content/conferences/10.1049/ic.2014.0021en
dc.identifier.isbn9781849198646en
dc.identifier.doi10.1049/ic.2014.0021en
dc.identifier.urihttp://hdl.handle.net/10547/333749en
dc.description.abstractCognitive radio has been proposed as a means of improving the spectrum utilisation and increasing spectrum efficiency of wireless systems. This can be achieved by allowing cognitive radio terminals to monitor their spectral environment and opportunistically access the unoccupied frequency channels. Due to the opportunistic nature of cognitive radio, the overall performance of such networks depends on the spectrum occupancy or availability patterns. Appropriate knowledge on channel availability can optimise the sensing performance in terms of spectrum and energy efficiency. This work proposes a statistical framework for the channel availability in the polarization domain. A Gaussian Normal approximation is used to model real-world occupancy data obtained through a measurement campaign in the cellular frequency bands within a realistic scenario.en
dc.language.isoenen
dc.publisherIETen
dc.relation.urlhttp://digital-library.theiet.org/content/conferences/10.1049/ic.2014.0021en
dc.subjectapproximation theoryen
dc.subjectchannel allocationen
dc.subjectpolarisationen
dc.subjectGaussian distributionen
dc.subjectcognitive radioen
dc.subjectradio spectrum managementen
dc.subjectstatisticsen
dc.subjectradio links and equipmenten
dc.subjectinterpolation and function approximationen
dc.subjectnumerical analysisen
dc.titleA statistical framework for channel availability modelling in the polarisation domainen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshireen
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