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Probabilistic Reasoning for Dynamic Spectrum Access

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dc.contributor.advisor Chang, Kuo-Chu
dc.contributor.author Martin, Todd William
dc.creator Martin, Todd William
dc.date.accessioned 2017-01-29T01:17:30Z
dc.date.available 2017-01-29T01:17:30Z
dc.date.issued 2016
dc.identifier.uri https://hdl.handle.net/1920/10630
dc.description.abstract Dynamic 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.extent 196 pages
dc.language.iso en
dc.rights Copyright 2016 Todd William Martin
dc.subject Engineering en_US
dc.subject Systems science en_US
dc.subject Computer science en_US
dc.subject Bayesian Networks en_US
dc.subject Dynamic Spectrum Access en_US
dc.subject Probabilistic Reasoning en_US
dc.subject Wireless Communications en_US
dc.title Probabilistic Reasoning for Dynamic Spectrum Access
dc.type Dissertation
thesis.degree.level Ph.D.
thesis.degree.discipline Systems Engineering and Operations Research
thesis.degree.grantor George Mason University


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