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.
|Title of host publication||2022 IEEE International Conference on Consumer Electronics, ICCE 2022|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2022|
|Event||2022 IEEE International Conference on Consumer Electronics, ICCE 2022 - Virtual, Online, United States|
Duration: 2022 Jan 7 → 2022 Jan 9
|Name||Digest of Technical Papers - IEEE International Conference on Consumer Electronics|
|Conference||2022 IEEE International Conference on Consumer Electronics, ICCE 2022|
|Period||22/1/7 → 22/1/9|
Bibliographical noteFunding 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).
© 2022 IEEE.
- 5G Network
- Network automation
- Network data analytic function
- Network intelligence
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering