Abstract
The spatial scope of information services is expanding, various space-based, space-based, sea-based, and ground-based network services are emerging, and the need for multi-dimensional comprehensive information resources is steadily increasing. The combined air, space, and sea network can deliver seamless information services to land, sea, air, and space users, as well as satisfy the future network’s demands for all-time, all-space communication, and network connectivity. Firstly, the development trend of the network technology and protocol system of the integration of air, ground and sea is analyzed, and the research progress of LEO satellite communication system and air ground network integration is discussed. Then, the artificial intelligence technology is discussed. Finally, the application of artificial intelligence technology in the integrated network of space, earth and sea is discussed.
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References
Shafi, M., Molisch, A.F., Smith, P.J., et al.: 5G: a tutorial overview of standards, trials, challenges, deployment, and practice. IEEE J. Sel. Areas Commun. 35(6), 1201–1221 (2017)
Yu, J., Liu, X., Gao, Y., Shen, X.: 3D channel tracking for UAV-satellite communications in space-air-ground integrated networks. IEEE J. Sel. Areas Commun. 38(12), 2810–2823 (2020)
Zhang, N., Zhang, S., Yang, P., et al.: Software defined space-air-ground integrated vehicular networks: challenges and solutions. IEEE Commun. Mag. 55(7), 101–109 (2017)
Ye, J., Dang, S., Shihada, B., et al.: Space-air-ground integrated networks: outage performance analysis. IEEE Trans. Wirel. Commun. 19(12), 7897–7912 (2020)
Lyu, F., Wu, F., Zhang, Y., et al.: Virtualized and micro services provisioning in space-air-ground integrated networks. IEEE Wirel. Commun. 27(6), 68–74 (2020)
Cheng, N., Quan, W., Shi, W., et al.: A comprehensive simulation platform for space-air-ground integrated network. IEEE Wirel. Commun. 27(1), 178–185 (2020)
Liu, J., Shi, Y., Fadlullah, Z.M., et al.: Space-air-ground integrated network: a survey. IEEE Commun. Surv. Tut. 20(4), 2714–2741 (2018)
He, X., Wang, K., Huang, H., et al.: Green resource allocation based on deep reinforcement learning in content-centric IoT. IEEE Trans. Emerg. Top. Comput. 8(3), 781–796 (2018)
Mao, B., Fadlullah, Z.M., Tang, F., et al.: Routing or computing? The paradigm shift towards intelligent computer network packet transmission based on deep learning. IEEE Trans. Comput. 66(11), 1946–1960 (2017)
Tang, F., Mao, B., Fadlullah, Z.M., et al.: On removing routing protocol from future wireless networks: a real-time deep learning approach for intelligent traffic control. IEEE Wirel. Commun. 25(1), 154–160 (2017)
Kato, N., Fadlullah, Z.M., Tang, F., et al.: Optimizing space-air-ground integrated networks by artificial intelligence. IEEE Wirel. Commun. 26(4), 140–147 (2019)
Wu, H., Chen, J., Zhou, C., et al.: Resource management in space-air-ground integrated vehicular networks: SDN control and AI algorithm design. IEEE Wirel. Commun. 27(6), 52–60 (2020)
Cao, Y., Zhang, L., Liang, Y.C.: Deep reinforcement learning for multi-user access control in UAV networks. In: 2019 IEEE International Conference on Communications, ICC 2019. IEEE (2019)
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Zhang, S., Liu, L., Cheriet, M. (2022). Application of Artificial Intelligence for Space-Air-Ground-Sea Integrated Network. In: Sun, S., Hong, T., Yu, P., Zou, J. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2021. Lecture Notes in Electrical Engineering, vol 895. Springer, Singapore. https://doi.org/10.1007/978-981-19-4775-9_11
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DOI: https://doi.org/10.1007/978-981-19-4775-9_11
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