Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2492
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dc.contributor.authorLu, Z-
dc.contributor.authorYang, Y-
dc.contributor.authorSong, Y H-
dc.contributor.authorOwens, T-
dc.coverage.spatial5en
dc.date.accessioned2008-07-11T15:36:31Z-
dc.date.available2008-07-11T15:36:31Z-
dc.date.issued2005-
dc.identifier.citation6th IEE International Conference on 3G and Beyond. Washington, DC, 7-9 November 2005. 1-5en
dc.identifier.isbn1-4244-0816-4-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/2492-
dc.description.abstractWith GPRS and UMTS networks lunched, wireless multimedia services are commercially becoming the most attractive applications next to voice. Because of the nature of bursty, packet-switched schemes and multiple data rates, the traditional Erlang approach and Poisson models for characterising voice-centric services traffic are not suitable for studying wireless multimedia services traffic. Therefore, research on the characterisation of wireless multimedia services traffic is very challenging. The typical reference for the study of wireless multimedia services traffic is wired Internet services traffic. However, because of the differences in network protocol, bandwidth, and QoS requirements between wired and wireless services, their traffic characterisations may not be similar. Wired network Internet traffic shows self-similarity, long-range dependence and its file sizes exhibit heavy-tailedness. This paper reports the use of existing tools to analyse real GPRS traffic data to establish whether wireless multimedia services traffic have similar properties as wired Internet services traffic.en
dc.format.extent5525359 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherIEEEen
dc.subjectGPRS; Traffic characterisation; Self-similarity; Long-range dependence; Heavy-tailed distributionen
dc.titleCharacterisation of real GPRS traffic with analytical toolsen
dc.typeConference Paperen
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Electrical Engineering Research Papers

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