Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/865
DC FieldValueLanguage
dc.contributor.authorDaba, Jihad S.en_US
dc.date.accessioned2020-12-23T08:38:29Z-
dc.date.available2020-12-23T08:38:29Z-
dc.date.issued2005-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/865-
dc.description.abstractTraffic estimation techniques play an increasingly vital role in the - accurate design of networks. This paper presents stochastic models and estimation algorithms for traffic in wireless networks. The stochastic models for traffic are based on a doubly stochastic filtered Poisson point process., For each Of these statistical models, we present optimal and compulationally efficient estimation algorithms to determine the average traffic intensity using transformed data measurements. We show that the maximum likelihood. estimator is optimal in the sense that the variance of the error is the smallest possible using any other conceivable estimate having the same bias with the same data.en_US
dc.format.extent3 p.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.subjectIntelligent networksen_US
dc.subjectTraffic controlen_US
dc.subjectQuality of serviceen_US
dc.subjectGround penetrating radaren_US
dc.subjectSwitchesen_US
dc.subjectExponential distributionen_US
dc.subject.lcshTelecommunication-trafficen_US
dc.subject.lcshWireless networksen_US
dc.subject.lcshStochastic processesen_US
dc.titleTraffic estimation in wireless networks using filtered doubly stochastic point processesen_US
dc.typeConference Paperen_US
dc.relation.conferenceIEEE International Conference on Electrical, Electronic, and Computer Engineering (5-7 Sept. 2004 : Cairo, Egypt)en_US
dc.contributor.affiliationDepartment of Electrical Engineeringen_US
dc.description.startpage116en_US
dc.description.endpage119en_US
dc.date.catalogued2018-02-05-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1374395en_US
dc.identifier.OlibID177487-
dc.relation.ispartoftextInternational Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04. 2004en_US
dc.provenance.recordsourceOliben_US
Appears in Collections:Department of Electrical Engineering
Show simple item record

Record view(s)

2
checked on Jul 24, 2021

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.