Artificial Intelligence Enabled Radio Propagation: Path Loss Improvement and Channel Characterization in Vegetated Environments

Artificial Intelligence Enabled Radio Propagation: Path Loss Improvement and Channel Characterization in Vegetated Environments

Abstract In this paper, the application of AI and machine learning (ML) to the study of wireless propagation channels is investigated in two parts: first, an artificial neural network model is used to improve path loss prediction, and then, a pattern recognition model using multilayer perceptron (ML...

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Bibliographic Details
Main Authors: Leonardo Gonsioroski, Amanda Santos, Jairon Viana, Sandra Ferreira, Rogerio Silva, Luiz da Silva Mello, Leni Matos, Marcelo Molina
Format: Article
Language:English
Published: Sociedade Brasileira de Microondas e Optoeletrônica; Sociedade Brasileira de Eletromagnetismo 2024-04-01
Series:Journal of Microwaves, Optoelectronics and Electromagnetic Applications
Subjects:
Artificial neural network
machine learning
path loss
propagation in vegetation
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742024000100209&lng=en&tlng=en

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