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)

Abstract

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
JournalIEEE NETWORK
DOIs
Publication statusE-pub ahead of print - 9 Jan 2023
MoE publication typeA1 Journal article-refereed

Keywords

  • analytics
  • AI
  • ML
  • Beyond 5G

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