Path Loss Exponent and Shadowing Factor Prediction From Satellite Images Using Deep Learning

Path Loss Exponent and Shadowing Factor Prediction From Satellite Images Using Deep Learning

Optimal network planning for wireless communication systems requires the detailed knowledge of the channel parameters of the target coverage area. Channel parameters can be estimated through extensive measurements in the environment. Alternatively, ray tracing simulations can be done if the 3D model...

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Bibliographic Details
Main Authors: Hasan F. Ates, Syed Muhammad Hashir, Tuncer Baykas, Bahadir K. Gunturk
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Channel parameter estimation
path loss exponent
shadowing factor
deep learning
Online Access:https://ieeexplore.ieee.org/document/8772043/

Internet

https://ieeexplore.ieee.org/document/8772043/

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