Sensing with Mobile Devices through Radio SLAM: Models, Methods, Opportunities, and Challenges
Journal article, 2025
The integration of sensing and communication (ISAC) is a cornerstone of 6G, enabling simultaneous environmental awareness and communication. This article explores radio simultaneous localization and mapping (SLAM) as a key ISAC approach, using radio signals for mapping and localization. We analyze radio SLAM across different frequency bands, discussing trade-offs in coverage, resolution, and hardware requirements. We also highlight opportunities for integration with sensing, positioning, and cooperative networks. The findings pave the way for standardized solutions in 6G applications such as autonomous systems and industrial robotics.
Robot kinematics
Robot sensing systems
Reflection
Channel estimation
6G mobile communication
Receivers
Buildings
Integrated sensing and communication
Simultaneous localization and mapping
Delays
Author
Yu Ge
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Ossi Kaltiokallio
University of Tampere
Elizaveta Rastorgueva-Foi
University of Tampere
Musa Furkan Keskin
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Hui Chen
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Guillaume Jornod
Bosch
Jukka Talvitie
University of Tampere
Mikko Valkama
University of Tampere
Frank Hofmann
Bosch
Henk Wymeersch
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
IEEE Communications Magazine
0163-6804 (ISSN) 15581896 (eISSN)
Vol. 63 12 80-87Hardware-aware Integrated Localization and Sensing for Communication Systems
Swedish Research Council (VR) (2022-03007), 2023-01-01 -- 2026-12-31.
6G DISAC
European Commission (EC) (101139130-6G-DISAC), 2024-01-01 -- 2026-12-31.
Localization and Sensing for Perceptive Cell-Free Networks Towards 6G
Swedish Research Council (VR) (2024-04390), 2025-01-01 -- 2028-12-31.
Subject Categories (SSIF 2025)
Communication Systems
Embedded Systems
Signal Processing
DOI
10.1109/MCOM.001.2500060