Architecture and algorithms for scalable mobile QoS

dc.contributor.advisorKnightly, Edward W.
dc.creatorSadeghi, Bahareh
dc.date.accessioned2009-06-04T07:57:40Z
dc.date.available2009-06-04T07:57:40Z
dc.date.issued2000
dc.description.abstractSupporting Quality of Service is an important objective for future mobile systems, and requires resource reservation and admission control to achieve. In this thesis, we introduce a scalable scheme to admission control termed Virtual Bottleneck Cell. Our approach is designed to scale to many users and hand-offs, while simultaneously controlling "hot spots". The key technique is to hierarchically control the virtual system, ensuring QoS objectives are satisfied without requiring accurate predictions of the users' future locations. We develop a simple analytical model to study the system and illustrate several key components of the approach. We formulate the problem of how to group the cells to form the virtual system as an optimization problem and propose a heuristic adaptive clustering algorithm as its solution. Finally, we perform simulations in a two-dimensional network to compare the performance obtained with VBC and adaptive clustering with alternate schemes, including the optimal offline algorithm.
dc.format.extent44 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS E.E. 2000 SADEGHI
dc.identifier.citationSadeghi, Bahareh. "Architecture and algorithms for scalable mobile QoS." (2000) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17374">https://hdl.handle.net/1911/17374</a>.
dc.identifier.urihttps://hdl.handle.net/1911/17374
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectElectronics
dc.subjectElectrical engineering
dc.titleArchitecture and algorithms for scalable mobile QoS
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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