A Machine Learning Approach for the Prediction of Indoor Propagation Path-Loss in the Tera-Hertz Bands

In this paper, we explore the use of machine learning (ML) models for predicting path loss in THz frequency bands for indoor environments. Traditional empirical and deterministic models often fall short in prediction accuracy. To overcome these limitations, we investigate four ML models: Gradient Bo...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Nagma Elburki, Sofiene Affes
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Indoor environments path-loss prediction THz bands machine learning (ML) models deep learning artificial neural networks (ANN) random forest
Online Access:	https://ieeexplore.ieee.org/document/10703067/