Discretized Urban Path Loss Modeling at 3.5 GHz Using Geospatial Features and Machine Learning Techniques: From Regression to Classification

Accurately modeling and predicting urban path loss is a challenging task due to the fact that conventional regression models yield continuous estimates that can hide important performance nuances across different attenuation regimes. Therefore, this study aims to transform the continuous path loss p...

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Egile Nagusiak:	Jose Lorente-Lopez, Ignacio Rodriguez-Rodriguez, Jose-Victor Rodriguez, Jose Maria Molina-Garcia-Pardo
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2025-01-01
Saila:	IEEE Access
Gaiak:	Machine learning techniques path-loss prediction radio wave propagation models urban environments
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/11202414/
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!