Imagine cars that talk to each other using invisible beams of light instead of just radio waves, making the connection incredibly fast and clear. It's like giving every vehicle a high-speed fiber optic cable that works through the air. An AI brain manages all this data to help cars 'see' around corners and avoid accidents in real-time.
Current wireless networks struggle with the extreme data demands and low-latency requirements of autonomous driving. This leads to safety risks and inefficient traffic flow in high-mobility urban environments.
A 6G testbed and hardware prototypes including 10 Gb/s optical bridges, PIC/ASIC-based fiber fronthaul, and AI-driven sensor fusion software for LiDAR and RaDAR.
If you are an autonomous vehicle manufacturer dealing with sensor blind spots and slow data sharing — this project developed AI-driven LiDAR/RaDAR sensor fusion that enables dynamic object detection. This allows vehicles to detect hidden objects and navigate complex environments more safely.
If you are a network provider dealing with high-latency fronthaul bottlenecks — this project developed PIC and ASIC components for 50-100 Gb/s coherent fiber connectivity. This ensures ultra-fast data transfer between edge datacenters and mobile infrastructure.
If you are a city operator dealing with traffic congestion and emergency vehicle delays — this project developed an AI-orchestrated SDN network for coordinated traffic management. This enables priority routing for emergency vehicles and reduces overall emissions.
Based on available project data, specific pricing or implementation costs are not provided; however, the project focuses on using cost-effective Photonic Integrated Circuits (PICs) and ASICs.
The project is currently at TRL-4 and uses a testbed interconnecting Barcelona, Castelldefels, and Athens to validate capabilities, suggesting a path toward larger scale deployment.
Based on available project data, there is no specific information regarding IP licensing terms or patent filings.
The system uses SDN-enabled photonic switching and a fiber-wireless optical architecture to expand the reach of 6G, acting as a high-capacity fronthaul for edge computation units.
The project runs from 2024-01-01 to 2026-12-31, aiming for TRL-4 developments by the end of the period.
The consortium is heavily industry-driven with a 64% industry ratio, comprising 7 industrial partners including 3 SMEs. This strong commercial presence, combined with 1 university and 2 research centers across 8 countries, indicates a high focus on translating technical 6G research into practical automotive and telecom applications.
Contact the Universitat Politècnica de Catalunya (UPC) in Spain.
Contact us to connect with the 6G-EWOC consortium for TRL-4 technology transfer.
