Distributed Active Localization and Sensing in 6G Systems (DALOS-6G)
| Reference number | |
| Coordinator | Chalmers Tekniska Högskola AB |
| Funding from Vinnova | SEK 90 000 |
| Project duration | November 2024 - November 2025 |
| Status | Completed |
| Venture | International individual mobility within cutting-edge technology |
| Call | Closed offer - International individual mobility for cutting-edge technology 2024 |
Important results from the project
The DALOS-6G project successfully met its objectives by developing hybrid model- and learning-based methods to improve localization in future 6G networks. Two research directions were established, focusing on active ISAC beam design and cooperative localization with intelligent surfaces. The project also strengthened international collaboration between Sweden and Canada, creating a strong foundation for future research in AI-enabled localization and sensing.
Expected long term effects
The project is expected to have a long-term impact by establishing strong international research networks and enabling future collaborative projects in AI-enabled localization and sensing for 6G. The developed methods provide a foundation for more accurate, reliable, and trustworthy wireless systems, supporting continued innovation, researcher mobility, and strategic research initiatives in Sweden and internationally.
Approach and implementation
The project was implemented with a clear structure combining theoretical modeling, algorithm development, and collaborative research. The work progressed largely as planned, with minor adjustments based on initial results. The schedule was mostly followed, and international collaboration functioned well. No major external factors negatively affected the project, and unplanned activities contributed to positive research synergies.