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Traffic Modeling in Mobile Communication Networks

by Osahenvemwen O.a., Edeko F.o., Emagbetere J.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 51 - Number 9
Year of Publication: 2012
Authors: Osahenvemwen O.a., Edeko F.o., Emagbetere J.
10.5120/8069-1462

Osahenvemwen O.a., Edeko F.o., Emagbetere J. . Traffic Modeling in Mobile Communication Networks. International Journal of Computer Applications. 51, 9 ( August 2012), 17-24. DOI=10.5120/8069-1462

@article{ 10.5120/8069-1462,
author = { Osahenvemwen O.a., Edeko F.o., Emagbetere J. },
title = { Traffic Modeling in Mobile Communication Networks },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 51 },
number = { 9 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 17-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume51/number9/8069-1462/ },
doi = { 10.5120/8069-1462 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:49:56.643620+05:30
%A Osahenvemwen O.a.
%A Edeko F.o.
%A Emagbetere J.
%T Traffic Modeling in Mobile Communication Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 51
%N 9
%P 17-24
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper is focused on traffic modeling in Mobile Communication networks. This research is aimed at developing a traffic models that will predict a blocking probability for voice calls and handover calls blocking probability in mobile communication networks (GSM). The high number of block calls experience in mobile network, especially during the Busy Hour (BH) has leads to poor Quality of Service (QOS) delivering in mobile network. These block calls experience in mobile network should be reduced to a certain low values (2% value in line with NCC recommended standard), to ensure good QOS. The developed traffic models are focused on new voice calls within the cell, handover calls in and out of a cell. The developed traffic models are designed based on the numbers of channels, partition into two segments in a cell network. The cell technology is homogenous in nature; therefore it is applicable to the entire mobile communication system. The analytical method is deployed, and the collection of traffic data with equipment know as the Operation and Maintenance Center (OMC-counter) which is in built in the mobile communication network is used. The OMC-counter runs on Linux operation software, which helps to capture the number of arrival calls and service time in a specified interval. The arrival rate is assumed to be Poisson and the service time is also, assumed to be exponentially distributed and independence identical distributed. These parameters are used in the development of the traffic models. The developed traffic models are blocking probability for voice calls and handover blocking probability for handover calls. These developed (propose) traffic models are validated using MATLAB (version 7. 6. 3. 325) program and compared with the conventional Erlang B for accuracy. These traffic models are used to manage the block calls experience in the mobile network. Also used in a balance relationship between cost incurred in mobile communication by operators and service render to the mobile communication subscribers.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Arrival rate service time exponential distribution traffic model and traffic load in erlang

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