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

11 Citations (Scopus)
224 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


Dive into the research topics of 'AI/ML Service Enablers & Model Maintenance for Beyond 5G Networks'. Together they form a unique fingerprint.

Cite this