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

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

1 Sitaatiot (Scopus)

53 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Sivut	1-10
Sivumäärä	10
Julkaisu	IEEE NETWORK
DOI - pysyväislinkit	https://doi.org/10.1109/MNET.129.2200417
Tila	Sähköinen julkaisu (e-pub) ennen painettua julkistusta - 9 tammik. 2023
OKM-julkaisutyyppi	A1 Julkaistu artikkeli, soviteltu

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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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Linkki julkaisuun Scopuksessa

IDEA-MILL: Industrial Distributed Edge Architecture over Machine Intelligence for Local Learning
Taleb, T.
01/01/2021 → 31/12/2021
Projekti: Academy of Finland: Other research funding

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title = "AI/ML Service Enablers & Model Maintenance for Beyond 5G Networks",

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.",

keywords = "analytics, AI, ML, Beyond 5G",

author = "Konstantinos Samdanis and {Nait Abbou}, Aiman and JaeSeung Song and Tarik Taleb",

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year = "2023",

month = jan,

day = "9",

doi = "https://doi.org/10.1109/MNET.129.2200417",

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TY - JOUR

T1 - AI/ML Service Enablers & Model Maintenance for Beyond 5G Networks

AU - Samdanis, Konstantinos

AU - Nait Abbou, Aiman

AU - Song, JaeSeung

AU - Taleb, Tarik

N1 - | openaire: EC/H2020/101016509/EU//CHARITY | openaire: EC/H2020/101069732/EU//aerOS

PY - 2023/1/9

Y1 - 2023/1/9

N2 - 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.

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.

KW - analytics

KW - AI

KW - ML

KW - Beyond 5G

UR - http://www.scopus.com/inward/record.url?scp=85147231621&partnerID=8YFLogxK

U2 - https://doi.org/10.1109/MNET.129.2200417

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

M3 - Article

SN - 0890-8044

SP - 1

EP - 10

JO - IEEE NETWORK

JF - IEEE NETWORK

ER -

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

Abstrakti

YK:n kestävän kehityksen tavoitteet

Pääsy asiakirjaan

OpenUrl-saatavuus

Muut tiedostot ja linkit

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Projektit

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

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