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Methodical Performance Modelling of Mobile Broadband Networks with Soft Computing Model

by Imeh J. Umoren, Saviour J. Inyang
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 25
Year of Publication: 2021
Authors: Imeh J. Umoren, Saviour J. Inyang
10.5120/ijca2021921157

Imeh J. Umoren, Saviour J. Inyang . Methodical Performance Modelling of Mobile Broadband Networks with Soft Computing Model. International Journal of Computer Applications. 174, 25 ( Mar 2021), 7-21. DOI=10.5120/ijca2021921157

@article{ 10.5120/ijca2021921157,
author = { Imeh J. Umoren, Saviour J. Inyang },
title = { Methodical Performance Modelling of Mobile Broadband Networks with Soft Computing Model },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2021 },
volume = { 174 },
number = { 25 },
month = { Mar },
year = { 2021 },
issn = { 0975-8887 },
pages = { 7-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number25/31828-2021921157/ },
doi = { 10.5120/ijca2021921157 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:23:02.443246+05:30
%A Imeh J. Umoren
%A Saviour J. Inyang
%T Methodical Performance Modelling of Mobile Broadband Networks with Soft Computing Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 25
%P 7-21
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The upsurge in Mobile Broadband Networks (MBBN) in recent time is evident with challenges and opportunities for the telecommunication industries. Mobile Broadband Performance represents qualitative and quantitative process that measures and defines performance ratings of typical active network. Basically, as broadband network and internet trend is changing rapidly, the growth in traffic is shifting from voice to data being driven by both increased in smartphone subscriptions and continued increase in average data volume per subscription. This paper explores Mobile Broadband Network Performance Modelling based on commonly used indicators; Signal Strength, Packet Loss and Speed (Data Rate). Indeed, networks have to cope with rapid increasing traffic demands and must offer good Quality of Service (QoS) to subscribers which has led to various significant challenges for networks service providers established for delivering uninterrupted coverage, high networks performance and increased user Quality of Experience (uQoE). Hence, modelling mobile broadband networks will significantly overcome existing challenges. The work considered a Fuzzy Knowledge-Based (FKB) approach with Triangular Membership Function (TMF) for evaluation of input parameters. First, performance test was carried out on selected three (3) mobile network operators in Niger Delta region and recordings were made over periods of 21 days. Second, a comparative routine monitoring was carried out on the selected network operators to ascertain service capacity. Thirdly, model for optimizing mobile broadband networks was proposed based on the test data. Results demonstrate that, the selected network operators vary in QoS. Comparison in terms of Signal Strength, Packet Loss and Data Rate was done. It was observed that, at the instance of six (6) scenarios, Operator x provides reasonable Data rate of about 51.93mbps (lowest download speed), Operator y performed efficiently on Packet loss with about 0.01% loss of packet and Operator z performed excellently well on signal strength of 98.23% for networks QoS and uQoE provisioning.

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Index Terms

Computer Science
Information Sciences

Keywords

MBBN Signal Strength Packet Loss Data Rate and user Quality of Experience (uQoE)

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