Evaluación de la calidad de servicio basada en segmentación de red para sistemas 5G definidos por software

  • Kevin Sneider Ibarra-Lancheros Universidad Distrital Francisco José de Caldas
  • Gustavo Puerto-Leguizamón Universidad Distrital Francisco José de Caldas
  • Carlos Suárez-Fajardo Universidad Distrital Francisco José de Caldas
Palabras clave: 5G- quinta generación móvil, segmentación de red, redes definidas por software, calidad de servicio

Resumen

Este artículo presenta la evaluación de los parámetros de calidad del servicio proporcionadas por la segmentación de recursos para redes 5G basadas en un entorno de red definido por software. El controlador Floodlight realizó decisiones de asignación de ancho de banda definiendo segmentos de red a perfiles de usuario en topologías particulares. El objetivo es controlar los recursos de ancho de banda que permiten garantizar valores de latencia y confiabilidad de acuerdo con el tipo de servicio en una red 5G. De esta forma, fue posible demostrar la versatilidad y escalabilidad del controlador Floodlight, que redujo la tasa de pérdida en un 10% en una red congestionada y permitió retrasos de menos de 700ms en aplicaciones como VoIP y transmisión de video compartiendo un canal con una velocidad de bits limitada de 5 Mbps.

Biografía del autor/a

Kevin Sneider Ibarra-Lancheros, Universidad Distrital Francisco José de Caldas

Electronic Engineer, Faculty of Engineering, Universidad Distrital Francisco José de Caldas, Bogotá-Colombia

Gustavo Puerto-Leguizamón, Universidad Distrital Francisco José de Caldas

PhD in Telecommunications, Faculty of Engineering, Universidad Distrital Francisco José de Caldas, Bogotá-Colombia

Carlos Suárez-Fajardo, Universidad Distrital Francisco José de Caldas

PhD in Telecommunications, Faculty of Engineering, Universidad Distrital Francisco José de Caldas, Bogotá-Colombia

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Cómo citar
[1]
K. S. Ibarra-Lancheros, G. Puerto-Leguizamón, y C. Suárez-Fajardo, «Evaluación de la calidad de servicio basada en segmentación de red para sistemas 5G definidos por software», TecnoL., vol. 21, n.º 43, pp. 27–41, sep. 2018.

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Publicado
2018-09-14
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