Distributed Active Localization and Sensing in 6G Systems (DALOS-6G)

Research Project, 2024 – 2025

Distributed multiple-input-multiple-output (DMIMO) communication systems, with decentralized antenna arrays, offer advantages in coverage, capacity, and resilience over traditional communication systems. Together with accurate localization and sensing functions, better coordination, improved performance, and enhanced capabilities of DMIMO systems can be achieved. The Distributed Active Localization and Sensing in 6G systems (DALOS-6G) project aims to tackle key challenges of localization and sensing in environments with mobility and multipath, as well as study online resource allocation for different sensing entities, by proposing a hybrid model- and learning-based method. The extensive experience in developing localization algorithms from the Swedish organization (Chalmers University of Technology) will be shared and combined with a strong background in active sensing and deep learning techniques of the external organization (University of Toronto). Specifically, the three main tasks include (i) system modeling and performance analysis, (ii) developing model-based localization algorithms, and (iii) formulating a hybrid localization framework. This project will foster international partnerships between Sweden and Canada and contribute to the global advancement of 6G. The project's outcomes will be widely disseminated, contributing to sustainable development goals through enhanced global collaboration and knowledge transfer.