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...

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Bibliographic Details
Main Authors: Sotirios P. Sotiroudis, Sotirios K. Goudos, Katherine Siakavara
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:ICT Express
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405959520300898