Sensing with Mobile Devices through Radio SLAM: Models, Methods, Opportunities, and Challenges

Yu Ge; Ossi Kaltiokallio; Elizaveta Rastorgueva-Foi; Musa Furkan Keskin; Hui Chen; Guillaume Jornod; Jukka Talvitie; Mikko Valkama; Frank Hofmann; Henk Wymeersch

Sensing with Mobile Devices through Radio SLAM: Models, Methods, Opportunities, and Challenges

Signal Processing 2025-09-10 v1

Authors: Yu Ge , Ossi Kaltiokallio , Elizaveta Rastorgueva-Foi , Musa Furkan Keskin , Hui Chen , Guillaume Jornod , Jukka Talvitie , Mikko Valkama , Frank Hofmann , Henk Wymeersch

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Abstract

The integration of sensing and communication (ISAC) is a cornerstone of 6G, enabling simultaneous environmental awareness and communication. This paper explores radio SLAM (simultaneous localization and mapping) 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.

Keywords

integrated sensing and communication wireless communications and networks intelligent metasurface

Cite

@article{arxiv.2509.07775,
  title  = {Sensing with Mobile Devices through Radio SLAM: Models, Methods, Opportunities, and Challenges},
  author = {Yu Ge and Ossi Kaltiokallio and Elizaveta Rastorgueva-Foi and Musa Furkan Keskin and Hui Chen and Guillaume Jornod and Jukka Talvitie and Mikko Valkama and Frank Hofmann and Henk Wymeersch},
  journal= {arXiv preprint arXiv:2509.07775},
  year   = {2025}
}

Sensing with Mobile Devices through Radio SLAM: Models, Methods, Opportunities, and Challenges

Abstract

Keywords

Cite

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