Role of Sensing and Computer Vision in 6G Wireless Communications
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arXiv
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| Autores principales: | , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
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| _version_ | 1866916386518859776 |
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| author | Kim, Seungnyun Moon, Jihoon Kim, Jinhong Ahn, Yongjun Kim, Donghoon Kim, Sunwoo Shim, Kyuhong Shim, Byonghyo |
| author_facet | Kim, Seungnyun Moon, Jihoon Kim, Jinhong Ahn, Yongjun Kim, Donghoon Kim, Sunwoo Shim, Kyuhong Shim, Byonghyo |
| contents | Recently, we are witnessing the remarkable progress and widespread adoption of sensing technologies in autonomous driving, robotics, and metaverse. Considering the rapid advancement of computer vision (CV) technology to analyze the sensing information, we anticipate a proliferation of wireless applications exploiting the sensing and CV technologies in 6G. In this article, we provide a holistic overview of the sensing and CV-aided wireless communications (SVWC) framework for 6G. By analyzing the high-resolution sensing information through the powerful CV techniques, SVWC can quickly and accurately understand the wireless environments and then perform the wireless tasks. To demonstrate the efficacy of SVWC, we design the whole process of SVWC including the sensing dataset collection, DL model training, and execution of realistic wireless tasks. From the numerical evaluations on 6G communication scenarios, we show that SVWC achieves considerable performance gains over the conventional 5G systems in terms of positioning accuracy, data rate, and access latency. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_03945 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Role of Sensing and Computer Vision in 6G Wireless Communications Kim, Seungnyun Moon, Jihoon Kim, Jinhong Ahn, Yongjun Kim, Donghoon Kim, Sunwoo Shim, Kyuhong Shim, Byonghyo Computer Vision and Pattern Recognition Networking and Internet Architecture Recently, we are witnessing the remarkable progress and widespread adoption of sensing technologies in autonomous driving, robotics, and metaverse. Considering the rapid advancement of computer vision (CV) technology to analyze the sensing information, we anticipate a proliferation of wireless applications exploiting the sensing and CV technologies in 6G. In this article, we provide a holistic overview of the sensing and CV-aided wireless communications (SVWC) framework for 6G. By analyzing the high-resolution sensing information through the powerful CV techniques, SVWC can quickly and accurately understand the wireless environments and then perform the wireless tasks. To demonstrate the efficacy of SVWC, we design the whole process of SVWC including the sensing dataset collection, DL model training, and execution of realistic wireless tasks. From the numerical evaluations on 6G communication scenarios, we show that SVWC achieves considerable performance gains over the conventional 5G systems in terms of positioning accuracy, data rate, and access latency. |
| title | Role of Sensing and Computer Vision in 6G Wireless Communications |
| topic | Computer Vision and Pattern Recognition Networking and Internet Architecture |
| url | https://arxiv.org/abs/2405.03945 |