Interplay Between AI and Space-Air-Ground Integrated Network: The Road Ahead
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909610411032576 |
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| author | Wu, Chenyu Wang, Xi Hu, Yi Han, Shuai Niyato, Dusit |
| author_facet | Wu, Chenyu Wang, Xi Hu, Yi Han, Shuai Niyato, Dusit |
| contents | Space-air-ground integrated network (SAGIN) is envisioned as a key network architecture for achieving ubiquitous coverage in the next-generation communication system. Concurrently, artificial intelligence (AI) plays a pivotal role in managing the complex control of SAGIN, thereby enhancing its automation and flexibility. Despite this, there remains a significant research gap concerning the interaction between AI and SAGIN. In this context, we first present a promising approach for developing a generalized AI model capable of executing multiple tasks simultaneously in SAGIN. Subsequently, we propose a framework that leverages software-defined networking (SDN) and AI technologies to manage the resources and services across the entire SAGIN. Particularly, we demonstrate the real-world applicability of our proposed framework through a comprehensive case study. These works pave the way for the deep integration of SAGIN and AI in future wireless networks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_09259 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Interplay Between AI and Space-Air-Ground Integrated Network: The Road Ahead Wu, Chenyu Wang, Xi Hu, Yi Han, Shuai Niyato, Dusit Networking and Internet Architecture Space-air-ground integrated network (SAGIN) is envisioned as a key network architecture for achieving ubiquitous coverage in the next-generation communication system. Concurrently, artificial intelligence (AI) plays a pivotal role in managing the complex control of SAGIN, thereby enhancing its automation and flexibility. Despite this, there remains a significant research gap concerning the interaction between AI and SAGIN. In this context, we first present a promising approach for developing a generalized AI model capable of executing multiple tasks simultaneously in SAGIN. Subsequently, we propose a framework that leverages software-defined networking (SDN) and AI technologies to manage the resources and services across the entire SAGIN. Particularly, we demonstrate the real-world applicability of our proposed framework through a comprehensive case study. These works pave the way for the deep integration of SAGIN and AI in future wireless networks. |
| title | Interplay Between AI and Space-Air-Ground Integrated Network: The Road Ahead |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2505.09259 |