Semantic Communication for the Internet of Space: New Architecture, Challenges, and Future Vision
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866910899150782464 |
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| author | Cai, Hanlin Wang, Houtianfu Dong, Haofan Akan, Ozgur B. |
| author_facet | Cai, Hanlin Wang, Houtianfu Dong, Haofan Akan, Ozgur B. |
| contents | The expansion of sixth-generation (6G) wireless networks into space introduces technical challenges that conventional bit-oriented communication approaches cannot efficiently address, including intermittent connectivity, severe latency, limited bandwidth, and constrained onboard resources. To overcome these limitations, semantic communication has emerged as a transformative paradigm, shifting the communication focus from transmitting raw data to delivering context-aware, missionrelevant information. In this article, we propose a semantic communication architecture explicitly tailored for the 6G Internet of Space (IoS), integrating multi-modal semantic processing, AIdriven semantic encoding and decoding, and adaptive transmission mechanisms optimized for space environments. The effectiveness of our proposed framework is demonstrated through a representative deep-space scenario involving semantic-based monitoring of Mars dust storms. Finally, we outline open research challenges and discuss future directions toward realizing practical semantic-enabled IoS systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_23446 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Semantic Communication for the Internet of Space: New Architecture, Challenges, and Future Vision Cai, Hanlin Wang, Houtianfu Dong, Haofan Akan, Ozgur B. Networking and Internet Architecture Information Theory Signal Processing The expansion of sixth-generation (6G) wireless networks into space introduces technical challenges that conventional bit-oriented communication approaches cannot efficiently address, including intermittent connectivity, severe latency, limited bandwidth, and constrained onboard resources. To overcome these limitations, semantic communication has emerged as a transformative paradigm, shifting the communication focus from transmitting raw data to delivering context-aware, missionrelevant information. In this article, we propose a semantic communication architecture explicitly tailored for the 6G Internet of Space (IoS), integrating multi-modal semantic processing, AIdriven semantic encoding and decoding, and adaptive transmission mechanisms optimized for space environments. The effectiveness of our proposed framework is demonstrated through a representative deep-space scenario involving semantic-based monitoring of Mars dust storms. Finally, we outline open research challenges and discuss future directions toward realizing practical semantic-enabled IoS systems. |
| title | Semantic Communication for the Internet of Space: New Architecture, Challenges, and Future Vision |
| topic | Networking and Internet Architecture Information Theory Signal Processing |
| url | https://arxiv.org/abs/2503.23446 |