Machine-Learning-Based Urban Path Loss Prediction at 900 MHz: Principal Component Analysis, Clustering, Feature Importance and Regression

In this work, the possibility of applying machine learning (ML) techniques to analyze and predict radio wave propagation losses in urban environments is explored. Thus, from a measurement campaign–conducted at 900 MHz in Cartagena, Spain– and the obtaining, by means of digital terrain...

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Үндсэн зохиолчид:	Jose Lorente-Lopez, Ignacio Rodriguez-Rodriguez, Jose-Victor Rodriguez, Jose Maria Molina Garcia-Pardo, Juan Aznar-Poveda
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2026-01-01
Цуврал:	IEEE Open Journal of Antennas and Propagation
Нөхцлүүд:	Machine learning techniques path-loss prediction radio wave propagation models urban environments
Онлайн хандалт:	https://ieeexplore.ieee.org/document/11231369/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!