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
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.
Topics & Concepts
Computer scienceOperabilityFunction (biology)Key (lock)GRASPAutomationFunction modelLogical data modelSoftwareData modelingCore (optical fiber)Software engineeringEngineeringProgramming languageWork in processOperating systemTelecommunicationsBusiness processOperations managementMechanical engineeringBiologyBusiness process modelingEvolutionary biologyAdvanced MIMO Systems OptimizationTelecommunications and Broadcasting TechnologiesWireless Body Area Networks