A framework of energy-efficient random cognitive radio network

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bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorSabuj, Saifur Rahman
dc.contributor.authorAlam S.
dc.contributor.authorMuhaimin M.
dc.date.accessioned2026-08-13T08:49:27Z
dc.date.available2026-08-13T08:49:27Z
dc.date.issued2018-02-09
dc.description.abstractThis paper investigates the random cognitive radio network based on stochastic geometry. We derive the outage probability considering interference and noise. Based on the newly derived outage probability expression, we determine the energy efficiency expressions of primary and secondary network. Our analysis shows that the outage probability and energy efficiency are better for low density of primary and secondary transmitters. Finally, we find the optimal threshold where the energy efficiency is maximized.
dc.description.versionPublished
dc.format.extent290-293
dc.identifier.citationS. R. Sabuj, S. Alam and M. Muhaimin, "A framework of energy-efficient random cognitive radio network," 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), Dhaka, Bangladesh, 2017, pp. 290-293, doi: 10.1109/R10-HTC.2017.8288959.
dc.identifier.doi10.1109/R10-HTC.2017.8288959
dc.identifier.issn9781538621752
dc.identifier.other2-s2.0-85047310644
dc.identifier.urihttps://hdl.handle.net/10361/29045
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/R10-HTC.2017.8288959
dc.relation.ispartof5th IEEE Region 10 Humanitarian Technology Conference 2017 R10 Htc 2017
dc.relation.ispartofseries5th IEEE Region 10 Humanitarian Technology Conference 2017 R10 Htc 2017
dc.relation.urihttps://ieeexplore.ieee.org/document/8288959
dc.rightsfalse
dc.subjectCognitive radio network
dc.subjectEnergy efficiency
dc.subjectOutage probability
dc.subjectStochastic geometry
dc.subject.lcshCognitive radio networks.
dc.subject.lcshComputer communication systems.
dc.subject.lcshStochastic geometry.
dc.titleA framework of energy-efficient random cognitive radio network
dc.typeConference Proceeding
oaire.citation.volume2018-January
person.affiliation.nameBRAC University
person.affiliation.nameRobi Axiata Limited
person.affiliation.nameBangladesh University of Engineering and Technology
person.identifier.scopus-author-id36988238700
person.identifier.scopus-author-id57189521155
person.identifier.scopus-author-id57199680795

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