A review of machine learning use-cases in telecommunication industry in the 5G Era

Haitham Mahmoud, Tawfik Ismail

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    With the development of the 5G and Internet of things (IoT) applications, which lead to an enormous amount of data, the need for efficient data-driven algorithms has become crucial. Security concerns are therefore expected to be raised using state-of-the-art information technology (IT) as data may be vulnerable to remote attacks. As a result, this paper provides a high-level overview of machine-learning use-cases for data-driven, maintaining security, or easing telecommunications operating processes. It emphasizes the importance of analyzing the role of machine learning in the telecommunications sector in terms of network operation.
    Original languageEnglish
    Pages159-163
    Publication statusPublished (VoR) - 24 Feb 2021
    Event2020 16th International Computer Engineering Conference (ICENCO) - Cairo, Egypt
    Duration: 29 Dec 202030 Dec 2020

    Conference

    Conference2020 16th International Computer Engineering Conference (ICENCO)
    Country/TerritoryEgypt
    CityCairo
    Period29/12/2030/12/20

    Fingerprint

    Dive into the research topics of 'A review of machine learning use-cases in telecommunication industry in the 5G Era'. Together they form a unique fingerprint.

    Cite this