3G network traffic sources measurement and analysis

Abstract

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.

Intelligent Municipal Heritage Management Service in a Smart City: Telecommunication Traffic Characterization and Quality of Service

“…Some traffic behaviour approximations came from measurements of traffic in real networks. However, these measures were aggregated traffics coming from a high number of similar devices [21]. In smart cities, a high number of sources belonging to many different types are generating information.…”

“…The start time and QoS are defined in a similar way for both data and video, but the data size and profiles are defined with different parameters. Tables 1 and 2 show the parameters associated with data size and profile of data [21] and video sources [22].…”