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dc.contributor.advisorHan, Zhu
dc.creatorLe, Thanh Dang 1984-
dc.date.accessioned2015-08-22T14:32:06Z
dc.date.available2015-08-22T14:32:06Z
dc.date.createdMay 2013
dc.date.issued2013-05
dc.identifier.urihttp://hdl.handle.net/10657/998
dc.description.abstractWith the requirement for increasing efficiency of wireless spectrum usage, the cognitive radio technique has been emerging as an important solution. Passive monitoring over wireless channels in cognitive radio is an innovative approach in which the system attempts to locate channels with the highest activity over time. A huge amount of work has been contributed to this field when the reward of each channel is identical to observers. However, when the reward is different over observers, these algorithms perform poorly. In this thesis, we challenge this problem by considering this correlation as part of the reward. We develop one optimal online learning algorithm when a switching cost exists in the system. We also propose three approximation algorithms with competitive computation complexity but still guarantee to obtain a constant amount of reward compared to the optimal case. Theoretical analysis and simulation are conducted to prove the effectiveness of these approaches.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.subjectSequential learning
dc.subjectWireless monitoring
dc.subjectMulti-armed bandit
dc.subject.lcshElectrical engineering
dc.titleSequential learning for passive monitoring of multi-channel wireless networks
dc.date.updated2015-08-22T14:32:07Z
dc.type.genreThesis
thesis.degree.nameMaster of Science in Electrical Engineering
thesis.degree.levelMasters
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.departmentElectrical and Computer Engineering
dc.contributor.committeeMemberZheng, Rong
dc.contributor.committeeMemberPrasad, Saurabh
dc.type.dcmiText
dc.format.digitalOriginborn digital
dc.description.departmentElectrical and Computer Engineering
thesis.degree.collegeCullen College of Engineering


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