PL-GAN: Path Loss Prediction Using Generative Adversarial Networks

PL-GAN: Path Loss Prediction Using Generative Adversarial Networks

Accurate prediction of path loss is essential for the design and optimization of wireless communication networks. Existing path loss prediction methods typically suffer from the trade-off between accuracy and computational efficiency. In this paper, we present a deep learning based approach with cle...

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Bibliographic Details
Main Authors: Ahmed Marey, Mustafa Bal, Hasan F. Ates, Bahadir K. Gunturk
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
height maps
satellite images
GANS
channel parameter estimation
wireless network
Online Access:https://ieeexplore.ieee.org/document/9866771/

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