Distribuerad aktiv lokalisering och avkänning i 6G-system (DALOS-6G)

Purpose and goal:

The DALOS-6G project aims to advance localization and sensing in distributed 6G systems by addressing challenges in mobility and multipath environments. Leveraging model- and learning-based methods, the project will develop a hybrid framework for improved resource allocation and localization performance. With the collaboration between Chalmers and the University of Toronto, the project seeks to enhance 6G capabilities through innovation and knowledge sharing between partnerships.

Expected results and effects:

The expected outcomes of the DALOS-6G project include (i) developed a hybrid model- and learning-based resource allocation framework to enhance localization performance; (ii) one conference paper to disseminate this work; (iii) strengthened international collaboration between Sweden and Canada. The initial results will also contribute to other projects and funding application, and finally towards a sustainable development of 6G localization and sensing.

Approach and implementation:

This 1-year project starts with system modeling and performance analysis, followed by developing model-based localization methods for multiple UEs and optimizing distributed arrays based on UE states. A hybrid learning-based approach will address active sensing challenges. Regular collaboration through technical presentations and evaluations, and a two-month research visit will support the knowledge transfer between two institutes in Sweden and Canada.