Imagine a digital highway where every single data packet arrives exactly when it's supposed to, with zero delays. Instead of hoping the connection stays stable, this system uses a digital twin—like a flight simulator for the network—to predict crashes or lags before they happen. It ensures that critical commands reach their destination instantly, whether inside a single car or across a whole city.
Current 5G and wired networks cannot guarantee the absolute timing and reliability needed for critical tasks like autonomous driving or precision robotics, leading to potential safety risks or production downtime.
A deterministic multi-technology data-plane and an AI-driven control-plane. It includes a digital twin for predicting network behavior and validating reliability requirements.
If you are an autonomous vehicle manufacturer dealing with unpredictable signal delays in vehicle-to-everything communication — this project developed a deterministic network architecture that ensures timing and reliability for safety-critical driving functions.
If you are a smart factory operator dealing with synchronization errors between wired and wireless robots — this project developed a multi-technology data-plane that guarantees seamless, time-sensitive connectivity across the entire production floor.
If you are a port terminal operator dealing with connectivity drops in large, geographically dispersed networks — this project developed an AI-driven control-plane that predicts network behavior to prevent service violations.
Based on available project data, specific pricing for the end-user is not provided, though the EU contributed EUR 5,681,350 to the development.
Yes, the project specifically targets scaling ambitions ranging from a single vehicle to large, geographically dispersed networks.
Based on available project data, the project follows Open Science practices for dissemination, but specific licensing terms for commercial use are not detailed.
The project overhauls reliability and time sensitiveness features in current wired and wireless standards, including WiFi and 3GPP, to create a deterministic data-plane.
The project period runs from 2023-01-01 to 2025-06-30, suggesting the results will be finalized by mid-2025.
The consortium is heavily industry-weighted with a 67% industry ratio, comprising 12 companies including 5 SMEs. This strong commercial presence, spanning 8 countries, suggests the technology is being developed with direct market application in mind rather than purely academic interest.
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