Thesis (Ph. D.)--Rutgers University, 2009. / "Graduate Program in Electrical and Computer Engineering." Includes bibliographical references (p. 105-110).

Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2010. / Committee Chair: Akyildiz, Ian; Committee Member: Ingram, Mary Ann; Committee Member: Blough, Douglas; Committee Member: Dovrolis, Konstantinos; Committee Member: Li, Ye. Part of the SMARTech Electronic Thesis and Dissertation Collection.

Includes bibliographical references (p. 124-131).

Thesis (M.S.)--University of Missouri-Columbia, 2007. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on March 28, 2008) Includes bibliographical references.

Thesis (LL. M.)--University of Toronto, 2005. / Includes bibliographical references (leaves 49-52).

Includes bibliographical references (p. 56-60).

Thesis (Ph.D.)--Hong Kong University of Science and Technology, 2005. / Includes bibliographical references (leaves 94-99). Also available in electronic version.

Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2006. / Dr. Stevenson J. Kenney, Committee Member ; Dr. Paul G. Steffes, Committee Chair ; Dr. Gregory D. Durgin, Committee Member ; Dr. Aaron D. Lanterman, Committee Member ; Dr. Robert G. Roper, Committee Member.

M.Sc. (Information Technology) / A new particle swarm optimisation (PSO) algorithm that produces solutions to the xed spectrum frequency assignment problem (FS-FAP) is presented. Solutions to the FS-FAP are used to allocate frequencies in a mobile telecommunications network and must have low interference. The standard PSO algorithm's velocity method and global selection is ill suited for the frequency assignment problem (FAP). Therefore using the standard PSO algorithm as base, new techniques are developed to allow it to operate on the FAP. The new techniques include two velocity methods and three global selection schemes. This study presents the results of the algorithm operating on the Siemens set of COST 259 problems and shows that it is viable applying the PSO to the FAP.

The objective of this dissertation is to propose the cross-layer spectrum management architecture for white space applications that improves the performance the main functions of the spectrum management. In the proposed cross-layer architecture, white space network devices such as white space devices and the spectrum map server cooperate to support the extended spectrum map, the inter-cell transmit power adaptation (ITPA), and the frequency-domain coexistence beacon (FCB). Upon the cross-layer architecture, firstly, white space devices (WSDs) achieve a faster search and higher accuracy in spectrum sensing with the extended spectrum map, the extended DHCP (Dynamic Host Configuration Protocol), and the FCB. Secondly, WSDs achieve the precise selection of their operating channel in spectrum decision with the extended spectrum map and the ITPA. In spectrum sharing, thirdly, the collaboration- based spectrum sharing with the ITPA achieve more accommodation of WSDs by increasing the number of channels shared between WSDs. Finally, WSDs with the FCB and the extended spectrum achieve effective spectrum mobility by obtaining the occupancy-status of channels precisely.