Mobile Broadband Adoption, Performance Measurements and Methodology: A Review-Reference-Cited by-同舟云学术

Mobile Broadband Adoption, Performance Measurements and Methodology: A Review

Published:2023-03-30 Issue:7 Volume:12 Page:1630
ISSN:2079-9292
Container-title:Electronics
language:en
Short-container-title:Electronics

Author:

Umoh Vincent¹,Ekpe Unwana²,Davidson Innocent³^ORCID,Akpan Joseph⁴^ORCID

Affiliation:

1. Department of Electrical Power Engineering, Durban University of Technology, Durban 4001, South Africa

2. Department of Electrical and Electronic Engineering, Akwa Ibom State University, Mkpat Enin 524106, Nigeria

3. Department of Electrical, Electronic and Computer Engineering, Cape Peninsula University of Technology, Bellville 7535, South Africa

4. Department of Industrial Engineering, Durban University of Technology, Durban 4001, South Africa

Abstract

Mobile broadband (MBB) penetration has deepened globally over the last twenty years. This is largely due to the adoption of smart devices, improved mobile communications network coverage, and the perpetual drive to develop ever faster mobile and wireless communication technologies. However, information on the quality of service (QoS) delivered by MBB operators to the end users remains an issue of concern. This has driven independent researchers and mobile communication industry regulators to develop methodologies for independent and unbiased evaluation of the QoS offered by MBB networks. This paper provides a detailed review of MBB adoption and penetration across several regions of the world. It also includes the existing methodologies for evaluating the performance of MBB systems as experienced by the end user. Specifically, methodologies such as the drive and walk tests, crowd-sourced mobile device-based methods and the software applications they employ, and the dedicated measurement testbeds are reviewed. Based on this, the challenges of adopting each of the methods are discussed in order to make a case for the development of more robust, partially autonomous and scalable MBB measurement platforms for the future.

Funder

Research Directorate, Durban University of Technology, South Africa

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Link

https://www.mdpi.com/2079-9292/12/7/1630/pdf

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