Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22643
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dc.contributor.authorSaeed, Nasiren_US
dc.contributor.authorRisteska Stojkoska, Biljanaen_US
dc.contributor.authorSamin, Sanaen_US
dc.date.accessioned2022-08-26T08:18:03Z-
dc.date.available2022-08-26T08:18:03Z-
dc.date.issued2016-09-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/22643-
dc.description.abstractIn this paper we implemented a local geometry alignment algorithm for locating the primary user (PU) in cognitive radio network. Based on the estimated distance between PUs and Secondary users (SUs) for the neighbors within certain communication range, the relative configuration of all users in the network is obtained initially and is refined finally to get the global position of every user in the network. The localization performance of the proposed approach is compared to multidimensional scaling and principal component analysis.en_US
dc.subjectlocalization; cognitive radio; wireless sensor networksen_US
dc.titleJoint Localization of Primary and Secondary Users in Cognitive Radio Networken_US
dc.typeProceeding articleen_US
dc.relation.conferenceICT Innovations 2016en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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