An Implementation Study of Network Data Analytic Function in 5G

Taeyun Kim, Joonwoo Kim, Haneul Ko, Sangwon Seo, Youbin Jcon, Hyeonjae Jeong, Seunghyun Lee, Sangheon Pack

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Consumer Electronics, ICCE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665441544
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Conference on Consumer Electronics, ICCE 2022 - Virtual, Online, United States
Duration: 2022 Jan 72022 Jan 9

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Volume2022-January
ISSN (Print)0747-668X

Conference

Conference2022 IEEE International Conference on Consumer Electronics, ICCE 2022
Country/TerritoryUnited States
CityVirtual, Online
Period22/1/722/1/9

Keywords

  • 3GPP
  • 5G Network
  • Network automation
  • Network data analytic function
  • Network intelligence

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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