Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach

Statistical methods employed in evaluating the quality of service (performance) of mobile broadband (MBB) networks face drawbacks relating to the accurate and reliable processing of the huge amounts of heterogenous real time traffic data generated from MBB networks. Since the traffic patterns experi...

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Vydané v:	Advances in Computing and Engineering Ročník 5; číslo 1; s. 1 - 19
Hlavní autori:	Akinlabi, Ayokunle A., Dahunsi, Folasade M., Popoola, Jide J., Okegbemi, Lawrence B.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Academy Publishing Center 18.06.2025
Predmet:	cellular network: mobile broadband crowdsourcing extreme gradient boosting machine learning quality of service random forest support vector machine
ISSN:	2735-5977, 2735-5985
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