计算机科学
通信卫星
卫星
电信
开放式研究
人气
星座
深度学习
美国宇航局深空网络
人工智能
航天器
万维网
航空航天工程
心理学
社会心理学
物理
天文
工程类
作者
A.B. Bhattacharyya,Shvetha M. Nambiar,Roshan Ojha,Amogh Gyaneshwar,Utkarsh Chadha,Kathiravan Srinivasan
摘要
Summary The recent wave of creating an interconnected world through satellites has renewed interest in satellite communications. Private and government‐funded space agencies are making advancements in the creation of satellite constellations, and the introduction of 5G has brought a new focus to a fully connected world. Satellites are the proposed solutions for establishing high throughput and low latency links to remote, hard‐to‐reach areas. This has caused the injection of many satellites in Earth's orbit, which has caused many discrepancies. There is a need to establish highly adaptive and flexible satellite systems to overcome this. Machine Learning (ML) and Deep Learning (DL) have gained much popularity when it comes to communication systems. This review extensively provides insight into ML and DL's utilization in satellite communications. This review covers how satellite communication subsystems and other satellite system applications can be implemented through Artificial Intelligence (AI) and the ongoing open challenges and future directions.
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