AI/ML Service Enablers & Model Maintenance for Beyond 5G Networks

Konstantinos Samdanis, Aiman Nait Abbou, JaeSeung Song, Tarik Taleb

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
74 Downloads (Pure)


Artificial Intelligence and Machine Learning
(AI/ML) can transform mobile communications, enable new
applications and services, and pave the way beyond 5G. The
adoption of AI/ML may also advance network optimizations
and service life-cycle management. This article provides an
overview of AI/ML analytics exploring the main concepts in
relation to network automation and service-based architectures.
Furthermore, it sheds light on AI/ML analytics service enablers
by considering a system-level approach elaborating on the key
technologies related to service discovery, request, control, and
reporting of AI/ML analytics. Finally, it provides an analysis
for maintaining the services of AI/ML analytics up-to-date, by
considering modifications of the AI/ML model in order to detect,
interpret, and compensate for potential performance drifts.
Original languageEnglish
Pages (from-to)1-10
Number of pages10
Publication statusE-pub ahead of print - 9 Jan 2023
MoE publication typeA1 Journal article-refereed


  • analytics
  • AI
  • ML
  • Beyond 5G


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