TY - GEN
T1 - An Implementation Study of Network Data Analytic Function in 5G
AU - Kim, Taeyun
AU - Kim, Joonwoo
AU - Ko, Haneul
AU - Seo, Sangwon
AU - Jcon, Youbin
AU - Jeong, Hyeonjae
AU - Lee, Seunghyun
AU - Pack, Sangheon
N1 - Funding Information:
This research was supported in part by Institute for Information Communications Technology Planning Evaluation (IITP) grant funded by the Korea Government (MSIT) (No. 2021-0-00739) and in part by National Research Foundation (NRF) of Korea Grant funded by the Korean Government (MSIT) (No. 2021R1A4A3022102).
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Network automation and intelligence are evolutionary directions in 5G, and network data analytic function (NWDAF) plays a key role to realize this vision. In this work, we present an implementation result of NWDAF in free5GC that is an open software for 3GPP mobile core networks. The implemented NWDAF module consists of 1) model training logical function (MTLF) to train the model and 2) analytics logic function (AnLF) to provide analytic results based on the trained model. We have verified the operability of NWDAF and released it through Github. Extensive experimental study will be conducted in our future work.
AB - Network automation and intelligence are evolutionary directions in 5G, and network data analytic function (NWDAF) plays a key role to realize this vision. In this work, we present an implementation result of NWDAF in free5GC that is an open software for 3GPP mobile core networks. The implemented NWDAF module consists of 1) model training logical function (MTLF) to train the model and 2) analytics logic function (AnLF) to provide analytic results based on the trained model. We have verified the operability of NWDAF and released it through Github. Extensive experimental study will be conducted in our future work.
KW - 3GPP
KW - 5G Network
KW - Network automation
KW - Network data analytic function
KW - Network intelligence
UR - http://www.scopus.com/inward/record.url?scp=85127042293&partnerID=8YFLogxK
U2 - 10.1109/ICCE53296.2022.9730290
DO - 10.1109/ICCE53296.2022.9730290
M3 - Conference contribution
AN - SCOPUS:85127042293
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
BT - 2022 IEEE International Conference on Consumer Electronics, ICCE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Consumer Electronics, ICCE 2022
Y2 - 7 January 2022 through 9 January 2022
ER -