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Artificial intelligence for satellite communication: A review
Fares Fourati,
Mohamed-Slim Alouini
King Abdullah University of Science and Technology
Electrical and Computer Engineering
Computer, Electrical and Mathematical Sciences and Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
62
Scopus citations
Overview
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Dive into the research topics of 'Artificial intelligence for satellite communication: A review'. Together they form a unique fingerprint.
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Computer Science
Artificial Intelligence
100%
Satellite Communication Network
100%
Wireless Communication
20%
Machine Learning
20%
Field Research
20%
Network Security
20%
Channel Modeling
20%
Network Traffic
20%
Satellite Network
20%
Reinforcement Learning
20%
Network Control
20%
Deep Learning
20%
Spectrum Management
20%
Terrestrial Network
20%
Service Continuity
20%
Earth and Planetary Sciences
Artificial Intelligence
100%
Satellite Communication
100%
Remote Sensing
20%
State of the Art
20%
Wireless Communication
20%
Machine Learning
20%
Ionospherics
20%
Airspace
20%
Service Area
20%
Satellite Network
20%
Network Control
20%
Telemetry
20%
Engineering
Artificial Intelligence
100%
Wireless Communication
20%
Energy Usage
20%
Terrestrial Network
20%
Satellite Communication System
20%
Channel Modeling
20%
Air Space
20%
Service Continuity
20%
Spectrum Management
20%
Deep Learning
20%
Reinforcement Learning
20%
Service Area
20%
Keyphrases
Space-air-ground
25%
Ionospheric Scintillation
25%
Network Traffic Prediction
25%
Service Scalability
25%
Deep Reinforcement
25%