Sensing-aided Positioning with Reconfigurable Intelligent Surfaces for Next-Generation 6G (SPRING-6G)

Purpose and goal

The project is developing a next-generation positioning system for 6G networks that can locate devices extremely accurately and quickly, while still using little energy. Smart surfaces that control radio signals and self-learning algorithms improve precision and range while reducing data processing and latency by at least 30%. The goal is to achieve over 95% accuracy and under 100 ms response time, opening up the way for future connected services, smart cities and autonomous solutions.

Expected effects and result

The project will create smarter, more energy-efficient ways for future 6G networks to locate and track connected devices quickly and reliably, even in challenging environments. Findings will be shared through open code, publications, and demonstrations and may influence international standards. This will foster new business opportunities, strengthen European competitiveness, and support sustainable IoT solutions that reduce environmental impact and improve public services.

Planned approach and implementation

The two-year project is organized into four research phases plus one for management and outreach. It starts by developing and testing new algorithms for precise positioning, then applies machine learning for faster signal control, followed by real-world trials with 6G equipment in collaboration with industry. In parallel, knowledge sharing, publications, and public presentations will disseminate results, strengthen collaborations, and build lasting networks.