Study of Enablers for Network Automation for the 5G System (5GS); Phase 3
This study focuses on key issue description, solution and evaluation/conclusion on further enhancement for network automation, as documented in TS 23.288 [5], by covering the following objectives:
- Study possible mechanisms for improved correctness of NWDAF analytics;
- Investigate whether and how NWDAF can assist application detection;
- Investigate whether and how to support data and analytics exchange in roaming case;
- Investigate data collection and data storage enhancements (including DCCF and ADRF enhancements, e.g. DCCF relocation, ADRF selection, ML model storage);
- Study whether and how to enhance trained ML Model sharing for different vendors;
- Study whether and how interactions between NWDAF can leverage MDAS/MDAF functionality for data collection and analytics;
- Investigate NWDAF-assisted URSP;
- Study whether and how to enhance the QoS sustainability analytics with finer granularity and additional input data;
- Study whether and how to enhance architecture to support federated learning in the 5GC; and
- Study NWDAF enhancements considering the finer granularity of location information than TA and cell level.