A Quality of Experience (QOE) Based Estimate of Bandwidth Requirement for Computer Networks

Haruna Bege and Aminu Yusuf Zubairu
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Haruna Bege: Department of Computer Engineering, Nuhu Bamalli Polytechnic, Kaduna State, Nigeria
Aminu Yusuf Zubairu: Department of Computer Engineering, Nuhu Bamalli Polytechnic, Kaduna State, Nigeria

International Journal of Research and Scientific Innovation, 2020, vol. 7, issue 9, 175-182

Abstract: This paper centers on making proper estimate of the bandwidth requirement of a network (which has a specified user population) with the help of Monte Carlo simulation (MCS) – a statistical tool for analyzing stochastic processes. This was done to overcome the challenge of poor Quality of Experience (QoE) resulting from insufficient bandwidth. Three MCS scenarios: fully loaded scenario (FLS), irregular pattern scenario (IPS) and regular pattern scenario (RPS) which are synonymous to high, normal and low traffic periods respectively. A model based bandwidth estimation technique was adopted which involved observing network traffic, classification of the contents accessed on the network, determination of the minimum bandwidth requirement for accessing each class of content that guarantees good QoE is met, lastly obtaining the popularity factor (likelihood) of viewing each content. These served as input data for the simulations from which estimates were obtained.

Date: 2020
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