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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.11195 |
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| _version_ | 1866908858272710656 |
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| author | Shen, Daohong Feng, Wei Chen, Yunfei Zhu, Yongxu Cheng, Jinxia Wang, Dapeng Jin, Shi |
| author_facet | Shen, Daohong Feng, Wei Chen, Yunfei Zhu, Yongxu Cheng, Jinxia Wang, Dapeng Jin, Shi |
| contents | Direct-to-cell (D2C) satellite communications have emerged as a crucial alternative to terrestrial communications in the sixth generation (6G) mobile networks due to their wide-area coverage capability. Unlike human-oriented communications, future 6G robot-oriented D2C satellite communications in autonomous operations place greater emphasis on the ultimate task completion than on the intermediate stage of data transmissions. Such a difference renders it crucial to evaluate the performance of each stage in a systematic manner and consider a multistage integrated optimization. Motivated by this, we model the system with a sensing-communication-computing-control (SC3) closed loop and analyze it from an entropy-based perspective, from which a task-oriented system design method is developed. Furthermore, to manage the complexity of the closed-loop network, we decompose it into fine-grained functional structures and investigate the key challenges of collaborative sensing, collaborative computing, and collaborative control. A case study is presented to compare the proposed task-oriented scheme with conventional communication-oriented schemes, showing that the proposed method has better performance in system-level control cost. Finally, several open issues are outlined for future research and practical implementation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_11195 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Task-Oriented Direct-to-Cell Satellite Communications for 6G Closed-Loop Autonomous Operations Shen, Daohong Feng, Wei Chen, Yunfei Zhu, Yongxu Cheng, Jinxia Wang, Dapeng Jin, Shi Signal Processing Direct-to-cell (D2C) satellite communications have emerged as a crucial alternative to terrestrial communications in the sixth generation (6G) mobile networks due to their wide-area coverage capability. Unlike human-oriented communications, future 6G robot-oriented D2C satellite communications in autonomous operations place greater emphasis on the ultimate task completion than on the intermediate stage of data transmissions. Such a difference renders it crucial to evaluate the performance of each stage in a systematic manner and consider a multistage integrated optimization. Motivated by this, we model the system with a sensing-communication-computing-control (SC3) closed loop and analyze it from an entropy-based perspective, from which a task-oriented system design method is developed. Furthermore, to manage the complexity of the closed-loop network, we decompose it into fine-grained functional structures and investigate the key challenges of collaborative sensing, collaborative computing, and collaborative control. A case study is presented to compare the proposed task-oriented scheme with conventional communication-oriented schemes, showing that the proposed method has better performance in system-level control cost. Finally, several open issues are outlined for future research and practical implementation. |
| title | Task-Oriented Direct-to-Cell Satellite Communications for 6G Closed-Loop Autonomous Operations |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2602.11195 |