Vision-Radio Experimental Infrastructure Architecture Towards 6G
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arXiv
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| Autori principali: | , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866911837609525248 |
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| author | Teixeira, Filipe B. Ricardo, Manuel Coelho, André Oliveira, Hélder P. Viana, Paula Paulino, Nuno Fontes, Helder Marques, Paulo Campos, Rui Pessoa, Luis M. |
| author_facet | Teixeira, Filipe B. Ricardo, Manuel Coelho, André Oliveira, Hélder P. Viana, Paula Paulino, Nuno Fontes, Helder Marques, Paulo Campos, Rui Pessoa, Luis M. |
| contents | Telecommunications and computer vision have evolved separately so far. Yet, with the shift to sub-terahertz (sub-THz) and terahertz (THz) radio communications, there is an opportunity to explore computer vision technologies together with radio communications, considering the dependency of both technologies on Line of Sight. The combination of radio sensing and computer vision can address challenges such as obstructions and poor lighting. Also, machine learning algorithms, capable of processing multimodal data, play a crucial role in deriving insights from raw and low-level sensing data, offering a new level of abstraction that can enhance various applications and use cases such as beamforming and terminal handovers.
This paper introduces CONVERGE, a pioneering vision-radio paradigm that bridges this gap by leveraging Integrated Sensing and Communication (ISAC) to facilitate a dual "View-to-Communicate, Communicate-to-View" approach. CONVERGE offers tools that merge wireless communications and computer vision, establishing a novel Research Infrastructure (RI) that will be open to the scientific community and capable of providing open datasets. This new infrastructure will support future research in 6G and beyond concerning multiple verticals, such as telecommunications, automotive, manufacturing, media, and health. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_19416 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Vision-Radio Experimental Infrastructure Architecture Towards 6G Teixeira, Filipe B. Ricardo, Manuel Coelho, André Oliveira, Hélder P. Viana, Paula Paulino, Nuno Fontes, Helder Marques, Paulo Campos, Rui Pessoa, Luis M. Networking and Internet Architecture Signal Processing Telecommunications and computer vision have evolved separately so far. Yet, with the shift to sub-terahertz (sub-THz) and terahertz (THz) radio communications, there is an opportunity to explore computer vision technologies together with radio communications, considering the dependency of both technologies on Line of Sight. The combination of radio sensing and computer vision can address challenges such as obstructions and poor lighting. Also, machine learning algorithms, capable of processing multimodal data, play a crucial role in deriving insights from raw and low-level sensing data, offering a new level of abstraction that can enhance various applications and use cases such as beamforming and terminal handovers. This paper introduces CONVERGE, a pioneering vision-radio paradigm that bridges this gap by leveraging Integrated Sensing and Communication (ISAC) to facilitate a dual "View-to-Communicate, Communicate-to-View" approach. CONVERGE offers tools that merge wireless communications and computer vision, establishing a novel Research Infrastructure (RI) that will be open to the scientific community and capable of providing open datasets. This new infrastructure will support future research in 6G and beyond concerning multiple verticals, such as telecommunications, automotive, manufacturing, media, and health. |
| title | Vision-Radio Experimental Infrastructure Architecture Towards 6G |
| topic | Networking and Internet Architecture Signal Processing |
| url | https://arxiv.org/abs/2402.19416 |