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Machine Learning-Based Method for LOS/NLOS Identification in V2V Environment

Accurate identification of line-of-sight (LOS) and non-line-of-sight (NLOS) conditions is a critical challenge in wireless communication, particularly the vehicle-to-vehicle (V2V) channels, owing to the high dynamics inherent to V2V environments. This study explores the use of machine learning (ML)...

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Principais autores: Yousra Chakkour, Vicent Miquel Rodrigo Penarrocha, Lorenzo Rubio, Herman Fernandez, Juan Reig
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2026-01-01
Serier:IEEE Access
Fag:
Artificial intelligence
channel modeling
LOS/NLOS classification
machine learning
supervised learning
training dataset size
Online adgang:https://ieeexplore.ieee.org/document/11328990/
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