Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network
Radio spectrum is becoming scarce resource due to increase in the usage of wireless communication devices. However studies have revealed that most of the allotted spectrum is not used effectively. Given the demand for more bandwidth and the amount of underutilized spectrum, DSA (Dynamic Spectrum Acc...
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Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap
2011
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ndltd-UPSALLA1-oai-DiVA.org-bth-32192015-07-01T04:49:07ZPriority Queuing Based Spectrum sensing Methodology in Cognitive Radio NetworkengPriority Queuing Based Spectrum sensing Methodology in Cognitive Radio Networksajiduet84@gmail.com, Sajid Mahmood /mujeeb.abdullah@gmail.com, Mujeeb Abdullah /Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskapBlekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap2011Cognitive radio Networks Radio Spectrum Management Spectrum SensingSpectrum MobilityRadio spectrum is becoming scarce resource due to increase in the usage of wireless communication devices. However studies have revealed that most of the allotted spectrum is not used effectively. Given the demand for more bandwidth and the amount of underutilized spectrum, DSA (Dynamic Spectrum Access) networks employing cognitive radios are a solution that can revolutionize the telecommunications industry, significantly changing the way we use spectrum resources, and design wireless systems and services. Cognitive radio has improve the spectral efficiency of licensed radio frequency bands by accessing unused part of the band opportunistically without interfering with a license primary user PU. In this thesis we investigate the effects on the quality of service (QoS) performance of spectrum management techniques for the connection-based channel usage behavior for Secondary user (SU). This study also consider other factors such as spectrum sensing time, spectrum handoff and generally distributed service time and channel contention for different SUs. The preemptive resume priority M/G/1 queuing theory is used to characterize the above mentioned effects. The proposed structure of the model can integrate various system parameters such spectrum sensing, spectrum decision, spectrum sharing and spectrum handoff. Sajid Mahmood 0046-762788990 Mujeeb Abdullah 0046-760908069Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:bth-3219Local oai:bth.se:arkivex18E21960180ECED0C12578A9003C21B9application/pdfinfo:eu-repo/semantics/openAccess |
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Cognitive radio Networks Radio Spectrum Management Spectrum Sensing Spectrum Mobility |
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Cognitive radio Networks Radio Spectrum Management Spectrum Sensing Spectrum Mobility sajiduet84@gmail.com, Sajid Mahmood / mujeeb.abdullah@gmail.com, Mujeeb Abdullah / Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network |
description |
Radio spectrum is becoming scarce resource due to increase in the usage of wireless communication devices. However studies have revealed that most of the allotted spectrum is not used effectively. Given the demand for more bandwidth and the amount of underutilized spectrum, DSA (Dynamic Spectrum Access) networks employing cognitive radios are a solution that can revolutionize the telecommunications industry, significantly changing the way we use spectrum resources, and design wireless systems and services. Cognitive radio has improve the spectral efficiency of licensed radio frequency bands by accessing unused part of the band opportunistically without interfering with a license primary user PU. In this thesis we investigate the effects on the quality of service (QoS) performance of spectrum management techniques for the connection-based channel usage behavior for Secondary user (SU). This study also consider other factors such as spectrum sensing time, spectrum handoff and generally distributed service time and channel contention for different SUs. The preemptive resume priority M/G/1 queuing theory is used to characterize the above mentioned effects. The proposed structure of the model can integrate various system parameters such spectrum sensing, spectrum decision, spectrum sharing and spectrum handoff. === Sajid Mahmood 0046-762788990 Mujeeb Abdullah 0046-760908069 |
author |
sajiduet84@gmail.com, Sajid Mahmood / mujeeb.abdullah@gmail.com, Mujeeb Abdullah / |
author_facet |
sajiduet84@gmail.com, Sajid Mahmood / mujeeb.abdullah@gmail.com, Mujeeb Abdullah / |
author_sort |
sajiduet84@gmail.com, Sajid Mahmood / |
title |
Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network |
title_short |
Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network |
title_full |
Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network |
title_fullStr |
Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network |
title_full_unstemmed |
Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network |
title_sort |
priority queuing based spectrum sensing methodology in cognitive radio network |
publisher |
Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap |
publishDate |
2011 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3219 |
work_keys_str_mv |
AT sajiduet84gmailcomsajidmahmood priorityqueuingbasedspectrumsensingmethodologyincognitiveradionetwork AT mujeebabdullahgmailcommujeebabdullah priorityqueuingbasedspectrumsensingmethodologyincognitiveradionetwork |
_version_ |
1716806964184350720 |