Probabilistic Reasoning for Dynamic Spectrum Access

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dc.contributor.advisorChang, Kuo-Chu
dc.contributor.authorMartin, Todd William
dc.creatorMartin, Todd William
dc.date.accessioned2017-01-29T01:17:30Z
dc.date.available2017-01-29T01:17:30Z
dc.date.issued2016
dc.description.abstractDynamic Spectrum Access (DSA) systems combine situational awareness development, decision assessment, and spectrum adaptation to provide greater spectrum access to wireless systems. While significant progress has been made in system dynamics and policy conformance reasoning, concern still exists regarding a DSA system’s ability to reliably determine the operating conditions for policy compliance in situ. Current methods in literature and recent FCC policies generally develop global operating constraints based on a priori modeling and analysis, which potentially reduces DSA system performance in all cases in order to mitigate risks that occur only in a few cases. Furthermore, the a priori determination of in situ operating constraints is inconsistent with the premise of a ``smart'' or ``cognitive'' wireless system.
dc.format.extent196 pages
dc.identifier.urihttps://hdl.handle.net/1920/10630
dc.language.isoen
dc.rightsCopyright 2016 Todd William Martin
dc.subjectEngineering
dc.subjectSystems science
dc.subjectComputer science
dc.subjectBayesian Networks
dc.subjectDynamic Spectrum Access
dc.subjectProbabilistic Reasoning
dc.subjectWireless communications
dc.titleProbabilistic Reasoning for Dynamic Spectrum Access
dc.typeDissertation
thesis.degree.disciplineSystems Engineering and Operations Research
thesis.degree.grantorGeorge Mason University
thesis.degree.levelPh.D.

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