Implementation of 5G Network Data Analytics Function Simulator Based on Actor Models

NWDAF plays a crucial role in 5G networks by providing analytics based on network data collected from other NFs, enabling them to make autonomous decisions and maintain optimal network conditions. In this paper, we propose a method for implementing an actor model-based simulator that simulates interactions between NWDAF and NFs in the 5G core network. Each NF is implemented as an independent actor and interacts with other NFs through messages. Event-based messages can be served as the SBI (Service Based Interface) for inter-NF communications. We define NFs as actors and outline the method for transmitting event-based messages. Based on this, we implemented a simulator to facilitate the exchange of NWDAF analytics. The simulator was validated using a DDoS (Distributed Denial of Service) attack scenario, demonstrating the effectiveness of NWDAF in detecting network traffic anomalies and reporting them to NFs in real-time. We also confirm that the actor-modeled NWDAF can accurately deliver analytics results to other NFs, enabling them to make decisions. This approach demonstrates that it can be easily extended and applied to different scenarios involving the transmission of network analytics.