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dc.contributor.supervisor Alfa, Attahiru S. (Electrical & Computer Engineering) Cai, Jun (Electrical & Computer Engineering) en_US
dc.contributor.author Alvarenga Chu, Sofia Cristina
dc.date.accessioned 2012-07-27T17:45:44Z
dc.date.available 2012-07-27T17:45:44Z
dc.date.issued 2012-07-27
dc.identifier.uri http://hdl.handle.net/1993/8127
dc.description.abstract In this thesis, we investigate the impact of channels that have a bursty nature in a cognitive radio network scenario. Our goal is to design a general channel usage model that can handle bursty primary user channel usage. The proposed model describes idle periods with a discrete platoon arrival process and describes busy periods with a discrete phase type distribution. The performance of the proposed model is compared with two more traditionally encountered channel usage models in three different secondary user access schemes. First, we design a reactive access scheme to show the poor performance results an in- vestigator can potentially obtain when ignoring bursty data traffic. We have also analyzed two proactive secondary network access schemes. Numerical results show that the achiev- able utilization and interference probability of the network are affected when traditional channel models are used in a bursty PU channel. en_US
dc.subject Opportunistic spectrum access en_US
dc.subject traffic model en_US
dc.title A Model for Bursty Traffic and Its Impact on the Study of Cognitive Radio Networks en_US
dc.degree.discipline Electrical and Computer Engineering en_US
dc.contributor.examiningcommittee Yahampath, Pradeepa (Electrical & Computer Engineering) Sri Ranjan, Ramanathan (Biosystems Engineering) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note October 2012 en_US


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