CONVERGE: A Multi-Agent Vision-Radio Architecture for xApps
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909725172432896 |
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| author | Teixeira, Filipe B. Simões, Carolina Fidalgo, Paulo Pedrosa, Wagner Coelho, André Ricardo, Manuel Pessoa, Luis M. |
| author_facet | Teixeira, Filipe B. Simões, Carolina Fidalgo, Paulo Pedrosa, Wagner Coelho, André Ricardo, Manuel Pessoa, Luis M. |
| contents | Telecommunications and computer vision have evolved independently. With the emergence of high-frequency wireless links operating mostly in line-of-sight, visual data can help predict the channel dynamics by detecting obstacles and help overcoming them through beamforming or handover techniques.
This paper proposes a novel architecture for delivering real-time radio and video sensing information to O-RAN xApps through a multi-agent approach, and introduces a new video function capable of generating blockage information for xApps, enabling Integrated Sensing and Communications. Experimental results show that the delay of sensing information remains under 1\,ms and that an xApp can successfully use radio and video sensing information to control the 5G/6G RAN in real-time. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_04556 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | CONVERGE: A Multi-Agent Vision-Radio Architecture for xApps Teixeira, Filipe B. Simões, Carolina Fidalgo, Paulo Pedrosa, Wagner Coelho, André Ricardo, Manuel Pessoa, Luis M. Networking and Internet Architecture Computer Vision and Pattern Recognition Telecommunications and computer vision have evolved independently. With the emergence of high-frequency wireless links operating mostly in line-of-sight, visual data can help predict the channel dynamics by detecting obstacles and help overcoming them through beamforming or handover techniques. This paper proposes a novel architecture for delivering real-time radio and video sensing information to O-RAN xApps through a multi-agent approach, and introduces a new video function capable of generating blockage information for xApps, enabling Integrated Sensing and Communications. Experimental results show that the delay of sensing information remains under 1\,ms and that an xApp can successfully use radio and video sensing information to control the 5G/6G RAN in real-time. |
| title | CONVERGE: A Multi-Agent Vision-Radio Architecture for xApps |
| topic | Networking and Internet Architecture Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2508.04556 |