NEF: MonitoringEvent API
An open source implementation of Monitoring Event API from the Network Exposure Function (NEF) based on 3GPP specifications.
This project enables Location Reporting Services for User Equipment (UE) via the 5G Core, delivering location information to Application Functions (AF) upon request.
It demonstrates a practical API capable of communicating with the 5G System to retrieve location reporting data. Designed with a cloud-native architecture, it ensures seamless integration with any 5G Core system, making it ideal for Beyond 5G (B5G) research, development, and testing.
By adhering to standardized practices, this project promotes network programmability and openness in B5G environments
GitHub link: https://github.com/FRONT-research-group/NEF
NEF: AssSessions with QoS
CAMARA: Device Location Retrieval API
An open source implementation of Location Retrieval API from the Device Location APIs Group for CAMARA Project.
This service provides the location of a mobile line as detected by the mobile network operator based on the available network data.
The implementation showcases the ease of rendering a detected location from a 5G System (Open5GS) to a netApp in a cloud native environment.
For experimentation and validation purposes a netApp that renders a fetched location into a map has been implemented as part of the service.
GitHub link: https://github.com/FRONT-research-group/CamaraLocationRetrieval
CAMARA: QoD API
Cognitive Coordinator
O-NEF: NEF Emulator
O-NEF is an open-source Network Exposure Function (NEF) emulator designed to simulate and test the functionality of NEF in 5G networks. It provides a platform for developers and researchers to experiment with various NEF use cases, such as service exposure, data collection, and application integration in a controlled environment. O-NEF helps ensure seamless integration with other 5G core network functions while enabling quick prototyping and testing of NEF-based applications. Ideal for 5G research, development, and testing, O-NEF allows users to emulate NEF behavior without the need for extensive infrastructure.