Digital Twin Channel for 6G: Concepts, Architectures and Potential Applications
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914908086468608 |
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| author | Wang, Heng Zhang, Jianhua Nie, Gaofeng Yu, Li Yuan, Zhiqiang Li, Tongjie Wang, Jialin Liu, Guangyi |
| author_facet | Wang, Heng Zhang, Jianhua Nie, Gaofeng Yu, Li Yuan, Zhiqiang Li, Tongjie Wang, Jialin Liu, Guangyi |
| contents | Digital twin channel (DTC) is the real-time mapping of a wireless channel from the physical world to the digital world, which is expected to provide significant performance enhancements for the sixth-generation (6G) air-interface design. In this work, we first define five evolution levels of channel twins with the progression of wireless communication. The fifth level, autonomous DTC, is elaborated with multi-dimensional factors such as methodology, characterization precision, and data category. Then, we provide detailed insights into the requirements and architecture of a complete DTC for 6G. Subsequently, a sensing-enhanced real-time channel prediction platform and experimental validations are exhibited. Finally, drawing from the vision of the 6G network, we explore the potential applications and the open issues in future DTC research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_12467 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Digital Twin Channel for 6G: Concepts, Architectures and Potential Applications Wang, Heng Zhang, Jianhua Nie, Gaofeng Yu, Li Yuan, Zhiqiang Li, Tongjie Wang, Jialin Liu, Guangyi Signal Processing Digital twin channel (DTC) is the real-time mapping of a wireless channel from the physical world to the digital world, which is expected to provide significant performance enhancements for the sixth-generation (6G) air-interface design. In this work, we first define five evolution levels of channel twins with the progression of wireless communication. The fifth level, autonomous DTC, is elaborated with multi-dimensional factors such as methodology, characterization precision, and data category. Then, we provide detailed insights into the requirements and architecture of a complete DTC for 6G. Subsequently, a sensing-enhanced real-time channel prediction platform and experimental validations are exhibited. Finally, drawing from the vision of the 6G network, we explore the potential applications and the open issues in future DTC research. |
| title | Digital Twin Channel for 6G: Concepts, Architectures and Potential Applications |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2403.12467 |