Analysis of Network Traffic with Urban Area Characteristics for Mobile Network Traffic Model


KIPS Transactions on Computer and Communication Systems, Vol. 10, No. 4, pp. 471-478, Aug. 2003
10.3745/KIPSTC.2003.10.4.471,   PDF Download:

Abstract

Traditionally, analysis, simulation and measurement have all been used to evaluate the performance of network protocols and functional entities that support mobile wireless service. Simulation methods are useful for testing the complex systems which have the very complicate interactions between components. To develop a mobile call simulator which is used to examine, validate, and predict the performance of mobile wireless call procedures must have the teletraffic model, which is to describe the mobile communication environments. Mobile teletraffic model is consists of 2 sub-models, traffic source and network traffic model. In this paper, we analyzed the network traffic data which are gathered from selected Base Stations (BSs) to define the mobile teletraffic model. We defined 4 types of cell location-Residential, Commercial, Industrial, and Afforest zone. We selected some Base Stations (BSs) which are represented cell location types in Seoul city, and gathered real data from them. And then, we present the call rate per hour, call distribution pattern per day, busy hours, loose hours, the maximum number of call, and the minimum number of calls based on defined cell location types. Those parameters are very important to test the mobile communication system´s performance and reliability and are very useful for defining the mobile network traffic model or for working the existed mobile simulation programs as input parameters.


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Cite this article
[IEEE Style]
Y. Y. Hyeon, "Analysis of Network Traffic with Urban Area Characteristics for Mobile Network Traffic Model," KIPS Journal C (2001 ~ 2012) , vol. 10, no. 4, pp. 471-478, 2003. DOI: 10.3745/KIPSTC.2003.10.4.471.

[ACM Style]
Yun Yeong Hyeon. 2003. Analysis of Network Traffic with Urban Area Characteristics for Mobile Network Traffic Model. KIPS Journal C (2001 ~ 2012) , 10, 4, (2003), 471-478. DOI: 10.3745/KIPSTC.2003.10.4.471.