Improving Path Loss Prediction Using Environmental Feature Extraction from Satellite Images: Hand-Crafted vs. Convolutional Neural Network

Improving Path Loss Prediction Using Environmental Feature Extraction from Satellite Images: Hand-Crafted vs. Convolutional Neural Network

There is an increased exploration of the potential of wireless communication networks in the automation of daily human tasks via the Internet of Things. Such implementations are only possible with the proper design of networks. Path loss prediction is a key factor in the design of networks with para...

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Bibliographic Details
Main Authors: Usman Sammani Sani, Owais Ahmed Malik, Daphne Teck Ching Lai
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
path loss
hand-crafted
satellite image
feature extraction
environment
Online Access:https://www.mdpi.com/2076-3417/12/15/7685

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