DocumentCode :
464387
Title :
Characterisation of Real Gprs Traffic with Analytical Tools
Author :
Lu, Zhan-hong ; Yang, Yang ; Song, Yong-hua ; Owens, Thomas
Author_Institution :
School of Engineering and Design, Brunel University, Uxbridge, UB8 3PH London, United Kingdom Zhanhong Lu´´s email: zhan.Ju@brunel.ac.uk
fYear :
2005
fDate :
7-9 Nov. 2005
Firstpage :
1
Lastpage :
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.
Keywords :
GPRS; Heavy-tailed distribution; Long-range dependence; Self-similarity; Traffic characterisation;
fLanguage :
English
Publisher :
iet
Conference_Titel :
3G and Beyond, 2005 6th IEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
1-4244-0816-4
Type :
conf
Filename :
4222785
Link To Document :
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