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dc.contributor.authorNeel, James O'Daniellen_US
dc.date.accessioned2014-03-14T20:19:59Z
dc.date.available2014-03-14T20:19:59Z
dc.date.issued2006-09-06en_US
dc.identifier.otheretd-12082006-141855en_US
dc.identifier.urihttp://hdl.handle.net/10919/29998
dc.description.abstractCognitive radio is frequently touted as a platform for implementing dynamic distributed radio resource management algorithms. In the envisioned scenarios, radios react to measurements of the network state and change their operation according to some goal driven algorithm. Ideally this flexibility and reactivity yields tremendous gains in performance. However, when the adaptations of the radios also change the network state, an interactive decision process is spawned and once desirable algorithms can lead to catastrophic failures when deployed in a network. This document presents techniques for modeling and analyzing the interactions of cognitive radio for the purpose of improving the design of cognitive radio and distributed radio resource management algorithms with particular interest towards characterizing the algorithms' steady-state, convergence, and stability properties. This is accomplished by combining traditional engineering and nonlinear programming analysis techniques with techniques from game to create a powerful model based approach that permits rapid characterization of a cognitive radio algorithm's properties. Insights gleaned from these models are used to establish novel design guidelines for cognitive radio design and powerful low-complexity cognitive radio algorithms. This research led to the creation of a new model of cognitive radio network behavior, an extensive number of new results related to the convergence, stability, and identification of potential and supermodular games, numerous design guidelines, and several novel algorithms related to power control, dynamic frequency selection, interference avoidance, and network formation. It is believed that by applying the analysis techniques and the design guidelines presented in this document, any wireless engineer will be able to quickly develop cognitive radio and distributed radio resource management algorithms that will significantly improve spectral efficiency and network and device performance while removing the need for significant post-deployment site management.en_US
dc.publisherVirginia Techen_US
dc.relation.haspartNeel_diss.pdfen_US
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Virginia Tech or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectSensor Networksen_US
dc.subject802.22en_US
dc.subject802.11en_US
dc.subjectInterference Reducing Networken_US
dc.subjectPotential Gamesen_US
dc.subjectGame Theoryen_US
dc.subjectSDRen_US
dc.subjectSoftware Radioen_US
dc.subjectCognitive Radioen_US
dc.subjectDistributed Radio Resource Managementen_US
dc.subjectMANETen_US
dc.subjectAd-hoc Networken_US
dc.subjectDynamic Frequency Selectionen_US
dc.subjectPower Controlen_US
dc.titleAnalysis and Design of Cognitive Radio Networks and Distributed Radio Resource Management Algorithmsen_US
dc.typeDissertationen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
thesis.degree.namePhDen_US
thesis.degree.leveldoctoralen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
dc.contributor.committeechairReed, Jeffrey Hughen_US
dc.contributor.committeememberGiles, Robert H. Jr.en_US
dc.contributor.committeememberBuehrer, Richard Michaelen_US
dc.contributor.committeememberDaSilva, Luiz A.en_US
dc.contributor.committeememberMacKenzie, Allen B.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-12082006-141855/en_US
dc.date.sdate2006-12-08en_US
dc.date.rdate2007-03-16
dc.date.adate2007-03-16en_US


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