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Spectrum Sensing for Cognitive Radio Networks

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dc.contributor.advisor Mark, Brian L.
dc.contributor.advisor Ephraim, Yariv
dc.contributor.author Sun, Yuandao
dc.creator Sun, Yuandao
dc.date.accessioned 2016-04-19T19:29:44Z
dc.date.available 2016-04-19T19:29:44Z
dc.date.issued 2015
dc.identifier.uri https://hdl.handle.net/1920/10196
dc.description.abstract Cognitive radio has been proposed as a technology for reclaiming highly under-utilized spectrum resources to satisfy the increasing spectrum demand. In a cognitive radio network, unlicensed or secondary users (SUs) are permitted to make use of portions of a licensed spectrum band that are left idle by the licensed or primary users (PUs). These idle portions of spectrum, called spectrum holes, exist in the dimensions of space, time, and frequency. In this thesis, we develop mathematical models and algorithms for detecting spectrum holes in a fixed frequency band, which are characterized either in space or in time.
dc.format.extent 97 pages
dc.language.iso en
dc.rights Copyright 2015 Yuandao Sun
dc.subject Electrical engineering en_US
dc.subject Computer engineering en_US
dc.subject Computer science en_US
dc.subject Aggregate interference en_US
dc.subject Cognitive Radio Network en_US
dc.subject Collaboration en_US
dc.subject Hidden Markov Model en_US
dc.subject Online parameter estimation en_US
dc.subject Spectrum Sensing en_US
dc.title Spectrum Sensing for Cognitive Radio Networks
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Electrical and Computer Engineering en
thesis.degree.grantor George Mason University en


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