3G network traffic sources measurement and analysis. Issue 8 (4th September 2013)

• Record Type: Journal Article
• Authors: Goleva, Rossitza; Atamian, Dimitar; Mirtchev, Seferin; Dimitrova, Desislava; Grigorova, Lyubina; Mavromoustakis, Constandinos; Shu, Lei; Dagiuklas, Tasos; Xiao, Yang
• Is Part Of: Transactions on emerging telecommunications technologies. Volume 25:Issue 8(2014)
• Page Start: 798
• Page End: 814
• Publication Date: 2013-09-04
• Subjects: Telecommunication -- Periodicals; 384.05
• DOI: 10.1002/ett.2703
• Languages: English
• ISSNs: 2161-5748

Abstract

<abstract abstract-type="main" id="ett2703-abs-0001"> <title>ABSTRACT</title> <p id="ett2703-para-0001">In this paper, we show statistical analyses of several types of traffic sources in a 3G network, namely voice, video and data sources. For each traffic source type, measurements were collected in order to, on the one hand, gain better understanding of the statistical characteristics of the sources and, on the other hand, enable forecasting traffic behaviour in the network. The latter can be used to estimate service times and quality of service parameters. The probability density function, mean, variance, mean square deviation, skewness and kurtosis of the interarrival times are estimated by Wolfram Mathematica and Crystal Ball statistical tools. Based on evaluation of packet interarrival times, we show how the gamma distribution can be used in network simulations and in evaluation of available capacity in opportunistic systems. As a result, from our analyses, shape and scale parameters of gamma distribution are generated. Data can be applied also in dynamic network configuration in order to avoid potential network congestions or overflows. Copyright © 2013 John Wiley &amp; Sons, Ltd.</p> </abstract>