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Conference Paper Design and Implementation of Network Data Analytics Function in 5G
Cited 7 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Seunghyun Lee, Jaewook Lee, Taeyun Kim, Daeyoung Jung, Inho Cha, Dongju Cha, Haneul Ko, Sangheon Pack
Issue Date
2022-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.757-759
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC55196.2022.9952559
Abstract
For network automation empowered by advanced artificial intelligence (AI) and machine learning (ML) technologies, the third generation partnership project (3GPP) introduced a novel network function called network data analytics function (NWDAF), which collects network data and provides valuable analytics results. Based on the up-to-date NWDAF specification, we implement NWDAF including analytic logical function (AnLF) and model training logical function (MTLF). Our experimental study on analytics and ML model provisioning services demonstrates the feasibility of the NWDAF testbed.
KSP Keywords
Data Analytics, Machine learning (ml), Network functions, Third Generation Partnership Project, artificial intelligence, design and implementation, experimental study, network automation, network data