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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|
|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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