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

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

doi:https://doi.org/10.1109/MNET.129.2200417

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

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

Research output: Contribution to journal › Article › Scientific › peer-review

3 Citations (Scopus)

74 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 language	English
Pages (from-to)	1-10
Number of pages	10
Journal	IEEE NETWORK
DOIs	https://doi.org/10.1109/MNET.129.2200417
Publication status	E-pub ahead of print - 9 Jan 2023
MoE publication type	A1 Journal article-refereed

Keywords

analytics
AI
ML
Beyond 5G

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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https://doi.org/10.1109/MNET.129.2200417

AI_ML_Analytics_paper_Revised_V2Accepted author manuscript, 747 KB

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Cite this

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abstract = "Artificial Intelligence and Machine Learning(AI/ML) can transform mobile communications, enable newapplications and services, and pave the way beyond 5G. Theadoption of AI/ML may also advance network optimizationsand service life-cycle management. This article provides anoverview of AI/ML analytics exploring the main concepts inrelation to network automation and service-based architectures.Furthermore, it sheds light on AI/ML analytics service enablersby considering a system-level approach elaborating on the keytechnologies related to service discovery, request, control, andreporting of AI/ML analytics. Finally, it provides an analysisfor maintaining the services of AI/ML analytics up-to-date, byconsidering modifications of the AI/ML model in order to detect,interpret, and compensate for potential performance drifts.",

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AB - Artificial Intelligence and Machine Learning(AI/ML) can transform mobile communications, enable newapplications and services, and pave the way beyond 5G. Theadoption of AI/ML may also advance network optimizationsand service life-cycle management. This article provides anoverview of AI/ML analytics exploring the main concepts inrelation to network automation and service-based architectures.Furthermore, it sheds light on AI/ML analytics service enablersby considering a system-level approach elaborating on the keytechnologies related to service discovery, request, control, andreporting of AI/ML analytics. Finally, it provides an analysisfor maintaining the services of AI/ML analytics up-to-date, byconsidering modifications of the AI/ML model in order to detect,interpret, and compensate for potential performance drifts.

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

Abstract

Keywords

UN SDGs

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IDEA-MILL: Industrial Distributed Edge Architecture over Machine Intelligence for Local Learning

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

Abstract

Keywords

UN SDGs

Access to Document

OpenUrl availability

Other files and links

Fingerprint

Projects

IDEA-MILL: Industrial Distributed Edge Architecture over Machine Intelligence for Local Learning

Cite this