Distributed Intelligence with Privacy-Preserving Features for FTTR Networks
This F5G PoC demonstrates the application of privacy-preserving Distributed Intelligence (DI) in Fiber-to-the-Room (FTTR) networks through the deployment of an FTTR testbed comprising one Main FTTR Unit (MFU), three Sub FTTR Units (SFUs), and dedicated Computing Nodes (CNs). The infrastructure supports the development and execution of DI pipelines for intelligent network monitoring and automation. A […]
LLM-based AI Assistant for Intent-Based Management of F5G-A Network Fabric
This PoC demonstrates an LLM-based AI assistant that enables users to manage the F5G-A Network Fabric through a single, natural-language interface. The assistant is deployed on the F5G OpenLab testbed at Fraunhofer HHI, where it connects to live management and monitoring components of the network. The system allows operators to query the network inventory, retrieve […]
Multi-Service PON Supporting Video Management Services
This PoC focused on multi-service capability of PONs. The demonstration showcases the multi-service capability by leveraging network slicing feature defined in the ETSI ISG F5G specifications. In the demonstration, three different services with different QoS requirements based on two manufacturing use-cases and one video surveillance scenario have been considered. The manufacturing use-cases are cloud-based control […]
Cloud-based Control of AGVs and Robots
The Proof of Concept (PoC) successfully achieved several important objectives, demonstrating the capabilities of edge/cloud-based control systems: AGV Control Loop: The PoC effectively showcased a real-time control loop for Automated Guided Vehicles (AGVs), with the control software residing on an edge cloud. This setup enables remote operation of AGVs from a factory shop floor. Integration […]
Precise Traffic Monitoring and Telemetry Streaming for Prediction and Analysis
This PoC demonstrates enhanced traffic monitoring and fine granular telemetry streaming solutions for optical access networks. In other words, the PoC focuses on the use-case of traffic monitoring and data analytics and demonstrates a full Machine Learning (ML) pipeline comprising telemetry retrieval from data sources (i.e., Optical Line Terminal (OLT)), telemetry broker, real time write/read […]