Modeling and Forecasting Secondary User Activity Considering Bulk Arrival and Bulk Departure Traffic Model

dc.citation.ctitleProceedings of the 2009 IEEE 70th Vehicular Technology Conference Fallen_US
dc.citation.doi10.1109/VETECF.2009.5379052en_US
dc.citation.epage5en_US
dc.citation.isbn978-1-4244-2514-3en_US
dc.citation.issn1090-3038en_US
dc.citation.spage1en_US
dc.contributor.authorAkter, Lutfa
dc.contributor.authorNatarajan, Bala
dc.contributor.authoreidbalaen_US
dc.date.accessioned2010-07-14T15:01:31Z
dc.date.available2010-07-14T15:01:31Z
dc.date.issued2010-01-12
dc.date.published2009en_US
dc.description.abstractIn this paper, we consider an Erlangian process model for secondary user (SU) traffic in a cognitive radio network (CRN). Unlike prior efforts that focused on Poisson traffic models, the model captures bulk arrival and departure scenarios in a frequency band that is open for opportunistic use by multiple secondary users. Specifically, we develop a Kalman filter based estimation and forecasting strategy for the number of secondary users. Using simulated data, we demonstrate that the proposed approach provides a robust upper bound prediction on the number of secondary users.en_US
dc.description.conference2009 IEEE 70th Vehicular Technology Conference Fall, September 20-23, 2009, Anchorage, Alaskaen_US
dc.description.versionArticle: Version of Record
dc.identifier.urihttp://hdl.handle.net/2097/4270
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.urihttp://doi.org/10.1109/VETECF.2009.5379052en_US
dc.rightsThis Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).en_US
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectKalman filtersen_US
dc.subjectCognitive radioen_US
dc.subjectTelecommunication trafficen_US
dc.subjectErlangian process modelen_US
dc.subjectPoisson traffic modelsen_US
dc.titleModeling and Forecasting Secondary User Activity Considering Bulk Arrival and Bulk Departure Traffic Modelen_US
dc.typeTexten_US

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