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Edge artificial intelligence (AI) and space-ground integrated networks (SGINs) are two main usage scenarios of the sixth-generation (6G) mobile networks.
OneWeb, “The dream of affordable Internet access for everyone is getting closer,” May 2017. [Online]. Available: https://goo.gl/eTkRnL
2017
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N. Cheng, F. Lyu, W. Quan, C. Zhou, H. He, W. Shi, and X. Shen, “Space/aerial-assisted computing offloading for IoT applications: A learning-based approach,” IEEE J. Sel. Areas Commun. , vol. 37, no. 5, pp. 1117–1129, Nov. 2019
2019
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SpaceX, “SpaceX: We’ve launched 32,000 linux computers into space for starlink internet,” Jun. 2020. [Online]. Available: https://www.zdnet.com/article/
2020
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A. Al-Hourani, “A tractable approach for predicting pass duration in dense satellite networks,” IEEE Commun. Lett. , vol. 25, no. 8, pp. 2698–2702, 2021
2021
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K. B. Letaief, Y. Shi, J. Lu, and J. Lu, “Edge artificial intelligence for 6G: Vision, enabling technologies, and applications,” IEEE J. Sel. Areas Commun. , vol. 40, no. 1, pp. 5–36, 2022
2022
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H. Luo, X. Shi, Y. Chen, X. Meng, Z. Feiran, and M. Mayer, “Very-low-earth-orbit satellite networks for 6G,” Communications of HUAWEI RESEARCH, 2022
2022
Cited alongside, same era.
Q. Chen, W. Meng, T. Q. S. Quek, and S. Chen, “Multi-tier hybrid offloading for computation-aware IoT applications in civil aircraft-augmented SAGIN,” IEEE J. Sel. Areas Commun. , vol. 41, no. 2, pp. 399–417, Feb. 2023
2023
Cited alongside, same era.
Q. Fang, Z. Zhai, S. Yu, Q. Wu, X. Gong, and X. Chen, “Olive branch learning: A topology-aware federated learning framework for space-air-ground integrated network,” IEEE Trans. Wireless Commun. , vol. 22, no. 7, pp. 4534–4551, Jul. 2023
2023
Cited alongside, same era.
X. Lansel, “Optical comms’ ecosystem setting up for the technological breakthrough,” Optical satellite communications, 2023
2023
Cited alongside, same era.
B. Matthiesen, N. Razmi, I. Leyva-Mayorga, A. Dekorsy, and P. Popovski, “Federated learning in satellite constellations,” IEEE Netw. , vol. 38, no. 2, pp. 232–239, Mar. 2024
2024
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2024
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H. Wu, Q. Zeng, and K. Huang, “Efficient multiuser AI downloading via reusable knowledge broadcasting,” IEEE Trans. Wireless Commun. , pp. 1–1, 2024
2024
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2024
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Q. Lan, Q. Zeng, P. Popovski, D. Gündüz, and K. Huang, “Progressive feature transmission for split classification at the wireless edge,” IEEE Trans. Wireless Commun. , vol. 22, no. 6, pp. 3837–3852, Jun. 2023
2023
Cited alongside, same era.
S. Yao, Y. Lin, M. Wang, K. Xu, M. Xu, C. Xu, and H. Zhang, “LEOEdge: A satellite-ground cooperation platform for the AI inference in large LEO constellation,” IEEE J. Sel. Areas Commun. , vol. 43, no. 1, pp. 36–50, Jan. 2025
2025
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