Comparación de modelos de propagación de ondas de radio de un canal inalámbrico en un entorno urbano de la ciudad de Barranquilla

Empirical propagation models are widely used to calculate path losses in a wireless channel in different types of scenarios, and their results are considered when selecting the location of base stations and planning their coverage area. The Walfisch-Ikegami, Stanford University Interim (SUI) and COS...

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Autores:
Barrios-Ulloa, Alexis
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
spa
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/8739
Acceso en línea:
https://hdl.handle.net/11323/8739
https://doi.org/10.17981/cesta.02.01.2021.03
https://repositorio.cuc.edu.co/
Palabra clave:
Error de predicción
Error relativo
Entorno urbano
Modelo de propagación empírico
Pérdida por trayectoria
Empirical propagation model
Prediction error
Relative error
Trajectory loss
Urban setting
Rights
openAccess
License
CC0 1.0 Universal
Description
Summary:Empirical propagation models are widely used to calculate path losses in a wireless channel in different types of scenarios, and their results are considered when selecting the location of base stations and planning their coverage area. The Walfisch-Ikegami, Stanford University Interim (SUI) and COST-231 Hata models were evaluated in this work in order to estimate their effectiveness. The power in a receiver operating in the 1900 MHz band was measured in different locations in an urban area of Barranquilla, Colombia, and the data obtained was used in the comparison. The effectiveness of the loss prediction by the models was analyzed through the calculation of the relative error and prediction error, showing that the Walfisch-Ikegami presented the lowest relative error compared to the SUI type B and the COST-231 Hata. The error values obtained were high, which indicates that the evaluated models do not correctly predict the losses measured in the considered scenario.