Imagine if your internet router had eyes to see where you are and what is blocking the signal. By combining cameras with radio waves, the network can predict when a signal will drop and steer the connection around obstacles. It is like giving a blind radio system a set of glasses to ensure a perfect connection.
High-frequency 6G signals are easily blocked by physical obstacles, leading to connection drops. Current networks cannot 'see' these obstacles, making beam management reactive rather than predictive.
A toolset comprising vision-aided intelligent surfaces, base stations, a 3D vision-radio simulator, and multimodal ML algorithms.
If you are a vehicle manufacturer dealing with signal drops in dense urban areas — this project developed vision-aided base stations that use visual data to predict wireless channel dynamics. This ensures a more stable connection for safety-critical data.
If you are a factory operator dealing with interference from heavy machinery — this project developed a vision-radio simulator and 3D environment modeler. This allows you to optimize signal paths using digital twins before physical deployment.
If you are a network provider dealing with the short range of sub-THz waves — this project developed vision-aided large intelligent surfaces. This helps maintain line-of-sight connectivity by intelligently directing beams based on visual sensing.
Based on available project data, no specific pricing or cost structures are provided as this is a research infrastructure project.
The project aims to deploy its toolset into 7 research infrastructures, indicating a scalable model for scientific and industrial testing.
Based on available project data, the project intends to provide the scientific community with open datasets, but specific commercial licensing terms are not listed.
The tools integrate with the Open Air Interface and are designed to work with fixed and mobile base stations.
The project period runs from 2023-02-01 to 2026-07-31.
The consortium is well-balanced for technology transfer, consisting of 16 partners across 6 countries. With an industry ratio of 38% (6 industrial partners, including 5 SMEs), there is a strong link between academic research and commercial application, ensuring the tools meet real-world market requirements.
Contact INESC TEC in Portugal for technical specifications on the vision-radio toolset.
Contact us to identify the specific SME partners in the CONVERGE consortium for licensing inquiries.
