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dc.contributor.authorDA SILVA, LUIZ
dc.date.accessioned2009-08-12T11:36:50Z
dc.date.available2009-08-12T11:36:50Z
dc.date.issued2009
dc.date.submitted2009en
dc.identifier.citationA. B. MacKenzie, J. H. Reed, P. Athanas, C. W. Bostian, R. M. Buehrer, L. A. DaSilva, S. W. Ellingson, Y. T. Hou, M. Hsiao, J.-M. Park, C. Patterson, S. Raman, C. R. C. M. da Silva 'Cognitive radio and networking research at Virginia Tech' in Proceedings of the IEEE, 97, (4), 2009, pp 660 - 688en
dc.identifier.otherY
dc.identifier.urihttp://hdl.handle.net/2262/31693
dc.descriptionPUBLISHEDen
dc.description.abstractMore than a dozen Wireless @ Virginia Tech faculty are working to address the broad research agenda of cognitive radio and cognitive networks. Our core research team spans the protocol stack from radio and reconfigurable hardware to communications theory to the networking layer. Our work includes new analysis methods and the development of new software architectures and applications, in addition to work on the core concepts and architectures underlying cognitive radios and cognitive networks. This paper describes these contributions and points towards critical future work that remains to fulfill the promise of cognitive radio. We briefly describe the history of work on cognitive radios and networks at Virginia Tech and then discuss our contributions to the core cognitive processing underlying these systems, focusing on our cognitive engine. We also describe developments that support the cognitive engine and advances in radio technology that provide the flexibility desired in a cognitive radio node. We consider securing and verifying cognitive systems and examine the challenges of expanding the cognitive paradigm up the protocol stack to optimize end-to-end network performance. Lastly, we consider the analysis of cognitive systems using game theory and the application of cognitive techniques to problems in dynamic spectrum sharing and control of multipleinput multiple-output radios.en
dc.format.extent660en
dc.format.extent688en
dc.format.extent2079622 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofseriesProceedings of the IEEEen
dc.relation.ispartofseries97en
dc.relation.ispartofseries4en
dc.rightsYen
dc.subjectAutomatic modulation classification; cognitive networks; cognitive radio; dynamic spectrum access; game theory; genetic algorithms; multiple-input multiple-output (MIMO); radio-frequency integrated circuit design; software defined radio; spectrum sensingen
dc.titleCognitive radio and networking research at Virginia Techen
dc.typeJournal Articleen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/dasilval


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