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dc.contributor.authorSyed, Tazeen Shabanaen
dc.contributor.authorSafdar, Ghazanfar Alien
dc.date.accessioned2018-12-20T14:31:22Z
dc.date.available2018-12-20T14:31:22Z
dc.date.issued2015-03-31
dc.identifier.citationSyed TS, Safdar GA (2015) 'On the usage of history for energy efficient spectrum sensing', IEEE Communications Letters, 19 (3), pp.407-410.en
dc.identifier.issn1089-7798
dc.identifier.doi10.1109/LCOMM.2015.2389243
dc.identifier.urihttp://hdl.handle.net/10547/623045
dc.description.abstractSpectrum sensing is one of the most challenging issues in cognitive radio networks. It provides protection to primary users (PUs) from interference and also creates opportunities of spectrum access for secondary users (SUs). It should be performed efficiently to reduce number of false alarms and missed detection. At the same time, spectrum sensing should be energy efficient to ensure the longevity of cognitive radio devices. This work presents a novel scheme which investigates the usage of history for energy efficient spectrum sensing in infrastructure cognitive radio networks. The presented scheme employs an iteratively developed history processing database. It is shown that usage of history helps predicting PU activity and results into reduced spectrum scanning by SUs thereby improving the sensing related energy consumption.
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttps://ieeexplore.ieee.org/document/7004859en
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF
dc.subjectspectrum sensingen
dc.subjectcognitive radioen
dc.subjectG420 Networks and Communicationsen
dc.titleOn the usage of history for energy efficient spectrum sensingen
dc.typeArticleen
dc.contributor.departmentUniversity of Bedfordshireen
dc.identifier.journalIEEE Communications Lettersen
dc.date.updated2018-12-20T14:22:03Z
html.description.abstractSpectrum sensing is one of the most challenging issues in cognitive radio networks. It provides protection to primary users (PUs) from interference and also creates opportunities of spectrum access for secondary users (SUs). It should be performed efficiently to reduce number of false alarms and missed detection. At the same time, spectrum sensing should be energy efficient to ensure the longevity of cognitive radio devices. This work presents a novel scheme which investigates the usage of history for energy efficient spectrum sensing in infrastructure cognitive radio networks. The presented scheme employs an iteratively developed history processing database. It is shown that usage of history helps predicting PU activity and results into reduced spectrum scanning by SUs thereby improving the sensing related energy consumption.


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