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학술대회 Design and Implementation of Network Data Analytics Function in 5G
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저자
이승현, 이재욱, 김태윤, 정대영, 차인호, 차동주, 고한얼, 백상헌
발행일
202210
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.757-759
DOI
https://dx.doi.org/10.1109/ICTC55196.2022.9952559
협약과제
22HH8100, 고신뢰·저지연 5G+ 코어 네트워크 및 5G-TSN 스위치 기술 개발, 김창기
초록
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 제안 키워드
Data Analytics, Experimental study, Machine learning (ml), Network Data, Third Generation Partnership Project, artificial intelligence, design and implementation, network automation, network function