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| DOI | 10.1109/CSNDSP54353.2022.9907912 | ||
| Año | 2022 | ||
| Tipo |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Visible Light Communications (VLC) have generated great interest in the scientific community in the last five years due to their great adaptation to harsh environments. Among the scenarios that can benefit from the advantages of VLC systems are Underground Mining (UM) tunnels. However, the physical phenomena and the irregularity of this environment present a challenge for the implementation of the systems called UM-VLC. Therefore, it is important to research and develop practical solutions that improve the performance of these systems in the UM scenario and verify their efficiency. Under this context, in this article we propose the implementation of pyramidal and hemi-dodecahedral Angle Diversity Receivers (ADRs) in the reception stage of a UM-VLC system. These solutions, along with the Maximum Ratio Combining (MRC) signal selection scheme, are evaluated and compared in terms of User Data Rate (UDR) and Cumulative Distribution Function (CDF) with respect to the Signal-to-Interference-plus-Noise Ratio (SINR). The numerical results obtained through computational simulations show that the hemi-dodecahedral ADR outperforms the the pyramidal ADR in terms of the evaluated metrics.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Palacios Jativa, Pablo | Hombre |
Universidad de Chile - Chile
Universidad Diego Portales - Chile |
| 2 | AZURDIA-MEZA, CESAR AUGUSTO | Hombre |
Universidad de Chile - Chile
|
| 3 | Zabala-Blanco, David | Hombre |
Universidad Católica del Maule - Chile
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| 4 | Soto, Ismael | Hombre |
Universidad de Santiago de Chile - Chile
|
| 5 | Ijaz, Muhammad | Hombre |
Manchester Metropolitan University - Reino Unido
|
| 6 | Fernando Carrera, Diego | Hombre |
Universidad Técnica Particular de Loja - Ecuador
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| 7 | Ekpo, Sunday | - |
Manchester Metropolitan University - Reino Unido
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| Fuente |
|---|
| Fondo de Fomento al Desarrollo Científico y Tecnológico |
| Secretaría de Educación Superior, Ciencia, Tecnología e Innovación |
| Beca de Doctorado Nacional |
| ANID Fondecyt |
| ANID PFCHA |
| IA&TI |
| Grupo de Investigación en Inteligencia Artificial y Tecnologías de la Información |
| Agradecimiento |
|---|
| This work was supported by ANID FONDECYT Regular No. 1211132, ANID PFCHA/Beca de Doctorado Na-cional/2019 21190489, CODELCO: Concurso Piensa Minería 2021, SENESCYT ”Convocatoria abierta 2014-primera fase, Acta CIBAE-023-2014”, FONDEF ID21I10191, and Grupo de Investigación en Inteligencia Artificial y Tecnologías de la Información (IA&TI). This work was partially funded by UCM-IN-21200 internal grant. |
| This work was supported by ANID FONDECYT Regular No. 1211132, ANID PFCHA/Beca de Doctorado Na-cional/2019 21190489, CODELCO: Concurso Piensa Minería 2021, SENESCYT ”Convocatoria abierta 2014-primera fase, Acta CIBAE-023-2014”, FONDEF ID21I10191, and Grupo de Investigación en Inteligencia Artificial y Tecnologías de la Información (IA&TI). This work was partially funded by UCM-IN-21200 internal grant. |