Toward Scalable and Efficient Visual Data Transmission in 6G Networks
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866929512787214336 |
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| author | Cai, Junhao An, Taegun Joo, Changhee |
| author_facet | Cai, Junhao An, Taegun Joo, Changhee |
| contents | 6G network technology will emerge in a landscape where visual data transmissions dominate global mobile traffic and are expected to grow continuously, driven by the increasing demand for AI-based computer vision applications. This will make already challenging task of visual data transmission even more difficult. In this work, we review effective techniques for visual data transmission, such as content compression and adaptive video streaming, highlighting their advantages and limitations. Further, considering the scalability and cost issues of cloud-based and on-device AI services, we explore distributed in-network computing architecture like fog-computing as a direction of 6G networks, and investigate the necessary technical properties for the timely delivery of visual data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_15961 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Toward Scalable and Efficient Visual Data Transmission in 6G Networks Cai, Junhao An, Taegun Joo, Changhee Networking and Internet Architecture Signal Processing 6G network technology will emerge in a landscape where visual data transmissions dominate global mobile traffic and are expected to grow continuously, driven by the increasing demand for AI-based computer vision applications. This will make already challenging task of visual data transmission even more difficult. In this work, we review effective techniques for visual data transmission, such as content compression and adaptive video streaming, highlighting their advantages and limitations. Further, considering the scalability and cost issues of cloud-based and on-device AI services, we explore distributed in-network computing architecture like fog-computing as a direction of 6G networks, and investigate the necessary technical properties for the timely delivery of visual data. |
| title | Toward Scalable and Efficient Visual Data Transmission in 6G Networks |
| topic | Networking and Internet Architecture Signal Processing |
| url | https://arxiv.org/abs/2409.15961 |