Deep learning for radio propagation: Using image-driven regression to estimate path loss in urban areas
Radio propagation modeling and path loss prediction have been the subject of many machine learning-based estimation attempts. Our current work uses deep learning for the task in question, trying to exploit the potential of applying convolutional neural networks in order to perform predictions based...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-09-01
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Series: | ICT Express |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959520300898 |