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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.

References
  1. Alisa Stalmakova, Andrejs Ermuiza (2016). Third Generation Mobile Technology (3G) Functioning Research. Maskavas iela 273/2-56, Riga LV-1063, Latvia, LBK/EDU, docent.
  2. Andrew Tarantola. (2013). The Next Generation of DSL Can Pump 1Gbps Through Copper Phone Lines. Gizmodo.www.gizmodo.com/the-next-generation-of-dsl-can-pump-1gbps-through-coppe-1484256467.
  3. Bradley Mitchell. (2020). Pros and Cons of Fixed Wireless Broadband Internet Access, Lifewire, www.Lifewire.com/fixed-wireless-broadband-internet-access.
  4. Cioffi, J. M., Jagannathan, S. and Lee, W. (2008). Digital Subscriber Line, Scholarpedia, vol (3), no. (8), pp1-3995, ASSIA.
  5. Chris Nwabueze, Silas Akaneme (2009). Wireless Fidelity (Wi-Fi) Broadband Network Technology: An Overview with Other Broadband Wireless Networks. Nigerian Journal of Technology, vol. 28 no.1, Anambra, Nigeria.
  6. Dahunsi F., Akinlabi A. (2019). Measuring mobile Broadband Performance in Nigeria: 2G and 3G, Nigerian Journal of Technology (NIJOTECH) Vol. 38, No. 2, April 2019, pp. 422 – 436, Nigeria.
  7. Edwin conway (2019). optical Fiber Communications Principles and Practice. Sterling Biographies. Scientific e-Resources. Pp1-365. ISBN 9781839472374.
  8. Eric W, Sammy C, (2001). Performance Modeling of Video-on-Demand Systems in Broadband Networks. IEEE Transactions On Circuits And Systems For Video Technology, vol. 11, no. 7, Hong Kong
  9. FCGA (2017). Definition of Terms. The FTTH Council Global Alliance (FCGA) and the Fiber Broadband Association, pp1-9.
  10. Guowang Miao; Jens Zander; Ki Won Sung; Ben Slimane (2016). Fundamentals of Mobile Data Networks. Cambridge University Press. ISBN 978-1107143210.
  11. Gurjeet Singh (2012). Comparative Analysis and Security Issues in Broadband Wireless Networks. Global Journal of Researches in Engineering Electrical and Electronics Engineering, Vol12 Issue 8, USA.
  12. Ivanović M (2018). Economic Interests and Social Problems in Realization of Broadband Network, Broadband Communications Networks - Recent Advances and Lessons from Practice, Broadband Communications Networks - Recent Advances and Lessons from Practice.
  13. Jagdev,. S, Nirmal, S, and J K Sharma, (2006). “Fuzzy modeling and control of HVAC system” A review. Journal of Scientific& Industrial Research, Vol.65, June 2006, pp470-476.
  14. Kashyap, Abhishek; Sun, Fangting; Shayman, Mark (2013). "Relay Placement for Minimizing Congestion in Wireless Backbone Networks", Department of Electrical and Computer Engineering, University of Maryland.
  15. Kuboye, B. M. (2017). Evaluation of Broadband Network Performance in Nigeria. International Journal of Communications, Network and System, Vol.10 No.9, Akure, Nigeria.
  16. Loskot P, Hassanien MA, Farjady F, Doran N, Payne DB, Ruffini M, Nesset D, Seton J. (2015). Long-term socio-economical drivers of traffic in next generation broadband networks. Annals of Telecommunications. 70(1-2):10 p.
  17. Mustafa Ergen (2009). Mobile Broadband: including WiMAX and LTE. Springer Science + Business Media. ISBN 978-0-387-68189-4.
  18. Martin Maier (2014). Fiber-Wireless (FiWi) Broadband Access Networks in an Age of Convergence: Past, Present, and Future, Hindawi Publishing Corporation Advances in Optics Volume 2014, Article ID 945364, 23 pages, Canada.
  19. Nick Baker. (2020). What is cable broadband. Uswitch, ttps://www.uswitch.com/broadband/guides/what-is-cable-broadband/
  20. Paul Sabatino (2000). Digital Subscriber Lines and Cable Modems, www.cse.wustl.edu/jain/cis788-97/ftp/rbb.index.htm, pp1-14.
  21. Suresh C., Vidhya V, Vishupriya J., Menaka .Muthulakshmi R, S. (2016). WIRELESS FIDELITY. International Journal of Research In Computer Applications And Robotics, Vol.4 Issue 2, PP 50-59, Mailam, India.
  22. Sumit Kaser, Nishit Narang (2004). 3G Networks: Architecture, Protocols & Procedures, ISBN: 9780070527997, McGraw Hill Education (India).
  23. Stork, Christoph, Calandro, Enrico and Gamage, Ranmalee (2014), “The future of broadband in Africa”, info, vol. 16, pp. 76–93.
  24. Sundaresan S, Donato W, Feamster N, Teixeira R, Crawford S, Pescapè A (2012). Measuring home broadband performance. Communications of the ACM. 2012;55(11):100-109.
  25. Srikanth S, Walter, Nick F, Renata T, Sam C, AntonioP (2012). Measuring Home Broadband Performance
  26. Turner, Brough (2007). "Congestion in the Backbone: Telecom and Internet Solutions". CircleID.
  27. Umoren I., Asagba P. and Owolabi O. (2014). Handover Manageability and Performance Modeling in CDMA Mobile Communication Networks, International Institute for Science, Technology and Education (IISTEE) and Computing Information Systems Development Informatics and Allied research - Journal (CISDA). Vol 5 No. 1, ISSN: 2167 -1710, page 27-42. www.cida.com
  28. Umoren, I. Asuquo D., Gilean O., and Esang, M. (2019). “Performability of retransmission of loss packets in wireless sensor networks,” Computer and Information Science, 12, No. 2, 71–86 (2019)
  29. World Economic Forum (2012). The Global Information Technology Report 2012, Mobile Broadband: Redefining Internet Access and Empowering Individual, World Economic Forum.
  30. Yogesh, M. (2012). A review on application of fuzzy logic in increasing the Efficiency of Industrial process”, IJLTET Vol. 1 ,11 ISSN: 2278- 621X.
  31. Zik, J., (2007). Network Evolution to 100 Gbps. Converge Network Digest.http://www.Convergedigest.com/bp/bp1.asp?ID=498&ctgy=Loop.
Index Terms

Computer Science
Information Sciences

Keywords

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

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