Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/2492
Title: Characterisation of real GPRS traffic with analytical tools
Authors: Lu, Z
Yang, Y
Song, Y H
Owens, T
Keywords: GPRS; Traffic characterisation; Self-similarity; Long-range dependence; Heavy-tailed distribution
Issue Date: 2005
Publisher: IEEE
Citation: 6th IEE International Conference on 3G and Beyond. Washington, DC, 7-9 November 2005. 1-5
Abstract: With 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.
URI: http://bura.brunel.ac.uk/handle/2438/2492
ISBN: 1-4244-0816-4
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

Files in This Item:
File Description SizeFormat 
Characterization of Real GPRS Traffic -IEE Proceedings.pdf5.4 MBAdobe PDFView/Open


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