Sensing with Mobile Devices through Radio SLAM: Models, Methods, Opportunities, and Challenges
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arXiv
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| Autori principali: | , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866912578743042048 |
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| author | Ge, Yu Kaltiokallio, Ossi Rastorgueva-Foi, Elizaveta Keskin, Musa Furkan Chen, Hui Jornod, Guillaume Talvitie, Jukka Valkama, Mikko Hofmann, Frank Wymeersch, Henk |
| author_facet | Ge, Yu Kaltiokallio, Ossi Rastorgueva-Foi, Elizaveta Keskin, Musa Furkan Chen, Hui Jornod, Guillaume Talvitie, Jukka Valkama, Mikko Hofmann, Frank Wymeersch, Henk |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_07775 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Sensing with Mobile Devices through Radio SLAM: Models, Methods, Opportunities, and Challenges Ge, Yu Kaltiokallio, Ossi Rastorgueva-Foi, Elizaveta Keskin, Musa Furkan Chen, Hui Jornod, Guillaume Talvitie, Jukka Valkama, Mikko Hofmann, Frank Wymeersch, Henk Signal Processing 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. |
| title | Sensing with Mobile Devices through Radio SLAM: Models, Methods, Opportunities, and Challenges |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2509.07775 |