Artificial Intelligence Enabled Radio Propagation: Path Loss Improvement and Channel Characterization in Vegetated Environments-Reference-Cited by-同舟云学术

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

Published:2024 Issue:1 Volume:23 Page:
ISSN:2179-1074
Container-title:Journal of Microwaves, Optoelectronics and Electromagnetic Applications
language:
Short-container-title:J. Microw. Optoelectron. Electromagn. Appl.

Author:

Gonsioroski Leonardo¹^ORCID,Santos Amanda¹^ORCID,Viana Jairon¹^ORCID,Ferreira Sandra¹^ORCID,Silva Rogerio¹^ORCID,Mello Luiz da Silva²^ORCID,Matos Leni³^ORCID,Molina Marcelo⁴^ORCID

Affiliation:

1. Universidade Estadual do Maranhão, Brasil

2. Pontificia Universidade Católica do Rio de Janeiro, Brasil

3. Universidade Federal Fluminense, Brasil

4. Ingeniería de Telecomunicaciones Universidad Católica Boliviana “San Pablo”, Bolívia

Publisher

FapUNIFESP (SciELO)

Link

http://www.scielo.br/scielo.php?script=sci_pdf&pid=S2179-10742024000100209&tlng=en

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5. “A Radio Channel Model for D2D Communications Blocked by Single Trees in Forest Environments.”;Picallo I.;Sensors,2019

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