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Title: A Model for Bursty Traffic and Its Impact on the Study of Cognitive Radio Networks
Authors: Alvarenga Chu, Sofia Cristina
Supervisor: Alfa, Attahiru S. (Electrical & Computer Engineering) Cai, Jun (Electrical & Computer Engineering)
Examining Committee: Yahampath, Pradeepa (Electrical & Computer Engineering) Sri Ranjan, Ramanathan (Biosystems Engineering)
Graduation Date: October 2012
Keywords: Opportunistic spectrum access
traffic model
Issue Date: 27-Jul-2012
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.
Appears in Collection(s):FGS - Electronic Theses & Dissertations (Public)

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