A Model for Bursty Traffic and Its Impact on the Study of Cognitive Radio Networks
| dc.contributor.author | Alvarenga Chu, Sofia Cristina | |
| dc.contributor.examiningcommittee | Yahampath, Pradeepa (Electrical & Computer Engineering) Sri Ranjan, Ramanathan (Biosystems Engineering) | en_US |
| dc.contributor.supervisor | Alfa, Attahiru S. (Electrical & Computer Engineering) Cai, Jun (Electrical & Computer Engineering) | en_US |
| dc.date.accessioned | 2012-07-27T17:45:44Z | |
| dc.date.available | 2012-07-27T17:45:44Z | |
| dc.date.issued | 2012-07-27 | |
| dc.degree.discipline | Electrical and Computer Engineering | en_US |
| dc.degree.level | Master of Science (M.Sc.) | en_US |
| 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.description.note | October 2012 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1993/8127 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | 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.type | master thesis | en_US |