The PREDICT-6G
demos.

Target Wake Time

by Politecnico di Torino (POLITO)

Claudio Casetti, Full Professor at Politecnico di Torino and a researcher in the PREDICT-6G consortium led the “Target Wake Time” demo. This demonstration shows the evolution of Wi-Fi networks with the introduction of Target Wake Time (TWT), a feature that transforms the way devices communicate within a network.

Smart Factory

by Gestamp and Ericsson

Marc Mollà, Chief Solution Architect at Ericsson and a member of PREDICT-6G, led the “Smart Factory” demo. This demonstration shows the application of Time Sensitive Networking (TSN) capabilities in 3GPP networks, with a specific focus on a Gestamp-inspired smart factory use case. The objective is to move from a wired configuration to a wireless LAN scenario using a 5G network, emphasising the challenges of interconnecting numerous mobile components in a factory environment.

Real Time Gesture Based Remote Control Of A Digital Twin

by UC3M

Antonio de la Oliva, Associate Professor at Univesidad Carlos III de Madrid (UC3M), led the “Real Time Gesture Based Remote Control Of A Digital Twin” demo. This demonstration shows how the combination of three different key technology enablers can allow us to remotely control a robotic dog using gestures. During the demonstration it can be seen how we have a full three-dimensional model of the robotic dog. It can also be seen how we have a full three-dimensional model of the robotic dog and the robot perfectly in real time, thanks to ultra-reliable, low-latency communications.

Monitoring Data collection Integration with a Sensing-Enabled 3GPP Technology Domain

by InterDigital and Networks

Sebastian Robitzsch from InterDigital and Matteo Ravalli from Nextworks led the “Monitoring Data collection Integration with a Sensing-Enabled 3GPP Technology Domain” demo. This demo presents a Multi-domain Monitoring Data Collection for the PREDICT-6G project. It automates the collection of Layer 4 latency and sensing data from a 3GPP domain, feeding it into an AI-driven control plane and a digital twin application. The demo integrates the AI-Driven Control Plane (AICP) to manage service provisioning and data monitoring.