Applications of Deep Learning in Satellite Communication: A Survey

被引：0
|
作者：
He, Yuanzhi [1 ,2 ]
Sheng, Biao [1 ]
Li, Yuan [2 ]
Wang, Changxu [2 ]
Chen, Xiang [1 ]
Liu, Jinchao [3 ]
机构：
[1] Sun Yat Sen Univ, Sch Syst Sci & Engn, Guangzhou 100876, Peoples R China
[2] Acad Mil Sci, Inst Syst Engn, Beijing 100141, Peoples R China
[3] China Coast Guard, Beijing 100141, Peoples R China
来源：
SPACE INFORMATION NETWORKS, SINC 2023 | 2024年 / 2057卷
关键词：
Satellite communication; Deep learning; Physical layer; Data link layer; Network layer; PREDICTION;
D O I：
10.1007/978-981-97-1568-8_3
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Satellite communication is a key aspect of future 6G networks, and the impact of artificial intelligence technology utilizing deep learning on satellite communications has garnered significant interest. This paper outlines the current research status of deep learning applications in satellite communication from the perspective of the physical layer, data link layer, and network layer. It also examines the limitations of deep learning in satellite communication applications and anticipates potential research directions for the future.
引用
收藏
页码：17 / 33
页数：17
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