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

Authors :: Samdanis, Konstantinos
Nait Abbou, Aiman
Song, JaeSeung
Taleb, Tarik
Mobile Network Softwarization and Service Customization
Sejong University
University of Oulu
Department of Information and Communications Engineering
Aalto-yliopisto
Aalto University
Source :: IEEE Network. :1-10
Publication Year :: 2023
Publisher :: Institute of Electrical and Electronics Engineers (IEEE), 2023.
Abstract: openaire: EC/H2020/101016509/EU//CHARITY | openaire: EC/H2020/101069732/EU//aerOS 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.