TY - GEN
T1 - Design and Implementation of Network Data Analytics Function in 5G
AU - Lee, Seunghyun
AU - Lee, Jaewook
AU - Kim, Taeyun
AU - Jung, Daeyoung
AU - Cha, Inho
AU - Cha, Dongju
AU - Ko, Haneul
AU - Pack, Sangheon
N1 - Funding Information:
ACKNOWLEDGEMENT This work was supported by Institute of Information Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2022-0-01015, Development of Candidate Element Technology for Intelligent 6G Mobile Core Network) and in part by the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2020-0-00974, Development of ultra-reliable and low-latency 5G+ core network and TSN switch technologies).
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - AI/ML
KW - Network automation
KW - Network data analytics function
KW - Service based interface
UR - http://www.scopus.com/inward/record.url?scp=85143250782&partnerID=8YFLogxK
U2 - 10.1109/ICTC55196.2022.9952559
DO - 10.1109/ICTC55196.2022.9952559
M3 - Conference contribution
AN - SCOPUS:85143250782
T3 - International Conference on ICT Convergence
SP - 757
EP - 759
BT - ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence
PB - IEEE Computer Society
T2 - 13th International Conference on Information and Communication Technology Convergence, ICTC 2022
Y2 - 19 October 2022 through 21 October 2022
ER -