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

    Bibliographical note

    Publisher Copyright:
    © 2022 IEEE.

    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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