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Cross-Layer Optimization and Distributed Algorithm Design for Frequency-Agile Radio Networks

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dc.contributor.authorFeng, Zhenhuaen
dc.contributor.committeechairYang, Yalingen
dc.contributor.committeememberBish, Douglas R.en
dc.contributor.committeememberReed, Jeffrey H.en
dc.contributor.committeememberHou, Yiwei Thomasen
dc.contributor.committeememberMacKenzie, Allen B.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T21:08:52Zen
dc.date.adate2011-02-15en
dc.date.available2014-03-14T21:08:52Zen
dc.date.issued2010-11-19en
dc.date.rdate2011-02-15en
dc.date.sdate2011-01-13en
dc.description.abstractRecent advancements in frequency-agile radio technology and dynamic spectrum access network have created a huge space for improving the utilization efficiency of wireless spectrum. Existing algorithms and protocols, however, have not taken full advantage of the new technologies due to obsolete network design ideologies inherited from conventional network design, such as static spectrum access and static channelization. In this dissertation, we propose new resource management models and algorithms that capitalize on the frequency-agility of next generation radios and the dynamic spectrum access concepts to increase the utilization efficiency of wireless spectrum. We first propose a new analytical model for Dynamic Spectrum Access (DSA) networks. Compared to previous models, the new model is able to include essential DSA mechanisms such as spectrum sensing and primary interference avoidance into solid mathematical representation and thus drastically increase the accuracy of our model. The subsequent numerical study conforms well with existing empirical studies and provides fundamental insights on the design of future DSA networks. We then take advantage of partially overlapped channel in frequency-agile radio networks and propose simple joint channel scheduling and flow routing optimization algorithm that maximizes network throughput. The model quantifies the impact of fundamental network settings, such as node density and traffic load, on the performance of partially overlapped channel based networks. We then propose a cross-layer radio resource allocation algorithm JSSRC (Joint Spectrum Sharing and end-to-end data Rate Control) that iteratively adapts a frequency-agile radio network to optimum with regard to aggregate network spectrum utilization. Subsequently, we extend JSSRC to include routing and present TRSS (joint Transport, Routing and Spectrum Sharing) to solve the much more complex joint transport, routing and spectrum sharing optimization problem. Both JSSRC and TRSS enjoy theoretical convergence and achieve optimum with appropriate scheduling algorithms. The works together strive to improve efficiency of spectrum utilization in frequency-agile radio networks. Numerical and simulation studies show the effectiveness of our designs to reduce the so-called spectrum shortage problem.en
dc.description.degreePh. D.en
dc.identifier.otheretd-01132011-191309en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-01132011-191309/en
dc.identifier.urihttp://hdl.handle.net/10919/37207en
dc.publisherVirginia Techen
dc.relation.haspartFeng_Z_D_2010.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectcognitive radiosen
dc.subjectwireless networksen
dc.subjectdynamic spectrum accessen
dc.subjectcross-layer designen
dc.subjectdistributed designen
dc.titleCross-Layer Optimization and Distributed Algorithm Design for Frequency-Agile Radio Networksen
dc.typeDissertationen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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