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About Deep Learning Rain Fade
This document proposes using deep learning to predict rain fade in satellite communications. It summarizes previous statistical and machine learning models for rain fade prediction then proposes a novel 3D convolutional neural network approach. The CNN would use spatio-temporal data from satellite imagery, radar data, and link power measurements to classify satellite-to-ground link status as experiencing fade or not. The goal is to more accurately predict rain fade events to allow proactive switching between ground gateways to maintain service quality.
Detailed Information
Author: | ['Zahran Tamby'] |
---|---|
Publication Year: | 2022 |
Pages: | 6 |
Language: | English |
Format: | |
Price: | FREE |
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