This demo showcases innovative optical network control to enhance performance and QoT predictability. By means of a modular, closed-loop SDN control plane, it demonstrates dynamic service provisioning and optimal path selection, using telemetry, digital twin technology, open amplifier control and time-varying QoT estimation.

We demonstrate a TDM-PON based end-to-end system that achieves ultra-low latency and jitter with high throughput efficiency for time-sensitive applications. This is achieved using co-scheduling of TDM-PON with Ethernet Time Sensitive Network (TSN) elements to serve industrial applications requiring such end-to-end network performance.

We demonstrate the value of PON as an enabler for the manufacturing sector. We showcase real-time telemetry insights of a visual inspection use-case, such as the evolution of energy and traffic throughout the process, their relationship and the importance of network slicing for QoS assurance.

We demonstrate a closed-loop operation for the use-case of autonomous optical link-capacity adjustment in a partially-disaggregated testbed. Our proposal employs a state-of-the-art traffic forecaster for capacity provisioning and an instance of TeraFlowSDN Controller for (re)configuration of IP/Optical network elements, without interrupting the end-to-end service.

This demonstration showcases sharper optical network reconfigurations through a SDN controller, enhanced with longitudinal PPE monitoring to enable soft-failure location. We developed a standard-compliant implementation of an efficient telemetry using OpenConfig and gNMI while balancing the computational needs between the receiver and the SDN controller.

We deployed an LLM-based AI-agent on a commercial product testbed for optical network management and automation. This demonstration showcases how the AI-agent interacts with controller APIs to implement service establishment, QoT estimation, and power optimization.

We demonstrate smart quantum-key supply system which supports both post-quantum and legacy cryptography to forward quantum-key to quantum-secured service node. A cryptography method is adaptively selected based on the algorithm supportability of the service node.

This demo presents a novel standards-based and open-source platform for control and management of optical networks. Using this platform, cutting-edge Fifth Generation Fixed Network (F5G) capabilities can be introduced to enterprises, users, and application developers. We evaluate the platform with a cloud-based VR gaming use-case.