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dc.contributor.authorRebholz, Matthew Johnen_US
dc.date.accessioned2013-06-18T08:00:43Z
dc.date.available2013-06-18T08:00:43Z
dc.date.issued2013-06-17en_US
dc.identifier.othervt_gsexam:1315en_US
dc.identifier.urihttp://hdl.handle.net/10919/23244
dc.description.abstractThis thesis explores the use of the Naïve Bayesian classifier as a method of determining high-level information about secondary users in a Dynamic Spectrum Access (DSA) network using a low complexity channel sensing method.  With a growing number of users generating an increased demand for broadband access, determining an efficient method for utilizing the limited available broadband is a developing current and future issue.  One possible solution is DSA, which we simulate using the Universal DSA Network Simulator (UDNS), created by our team at Virginia Tech.
However, DSA requires user devices to monitor large amounts of bandwidth, and the user devices are often limited in their acceptable size, weight, and power.  This greatly limits the usable bandwidth when using complex channel sensing methods.  Therefore, this thesis focuses on energy detection for channel sensing.  
Constraining computing requirements by operating with limited spectrum sensing equipment allows for efficient use of limited broadband by user devices.  The research on using the Naïve Bayesian classifier coupled with energy detection and the UDNS serves as a strong starting point for supplementary work in the area of radio classification.
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dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis Item is protected by copyright and/or related rights. Some uses of this Item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subjectDynamic Spectrum Accessen_US
dc.subjectCognitive Radiosen_US
dc.subjectNaïve Bayesian Classificationen_US
dc.subjectMatlab Simulationen_US
dc.titleDynamic Spectrum Access Network Simulation and Classification of Secondary User Propertiesen_US
dc.typeThesisen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineElectrical Engineeringen_US
dc.contributor.committeechairBose, Tamalen_US
dc.contributor.committeememberDietrich, Carl B.en_US
dc.contributor.committeememberManteghi, Majiden_US


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