Matched Channel Allocation for Advanced Metering Infrastructure based on Cognitive Mobile Virtual Network Operator

Esteban Inga; Roberto Hincapie

doi:10.1109/TLA.2016.7483515

Matched Channel Allocation for Advanced Metering Infrastructure based on Cognitive Mobile Virtual Network Operator

Título traducido de la contribución: Asignación de canales coincidentes para infraestructura de medición avanzada basada en el operador de red virtual móvil cognitivo

Esteban Inga
, Roberto Hincapie

Grupo de Investigación en Redes Eléctricas Inteligentes (GIREI)

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

10 Citas (Scopus)

Resumen

© 2016 IEEE. This paper analyses a matched channel allocation algorithm for Advanced Metering Infrastructure (AMI) for Smart Grid (SG) with connectivity provided by a Cognitive Mobile Virtual Network Operator (C-MVNO). The proposed algorithm studies the behavior of secondary-spectrum channels assigned to the AMI using the cellular network. In this work, we consider the Smart Meter (SM) as a device-cell without mobility with capabilities of connecting and disconnecting the output electric power. According to the efficiency and reliability requirements of Smart Grid, we consider the spectrum reuse in the MVNO to avoid the need of deployment the communications infrastructure of the AMI from cero. Here, we optimize the dynamic channel assignment by taking advantage of white holes present in the spectrum using a cognitive radio. This work, articulates the coexistence of different types of uplink channels, such as random, reserved and fixed, and a strategic model with C-MVNO, MVNO, based on traditional cellular networks.

Título traducido de la contribución	Asignación de canales coincidentes para infraestructura de medición avanzada basada en el operador de red virtual móvil cognitivo
Idioma original	Inglés estadounidense
Páginas (desde-hasta)	1780-1785
Número de páginas	6
Publicación	IEEE Latin America Transactions
DOI	https://doi.org/10.1109/TLA.2016.7483515
Estado	Publicada - 1 abr. 2016

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

Areas de Conocimiento del CACES

8417A Telecomunicaciones

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10.1109/TLA.2016.7483515

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Infraestructura de Medición Avanzada y Respuesta de la Demanda de Energía Eléctrica en Smart Grid
Inga Ortega, E. M. (Investigador principal), Garcia Torres, E. M. (Investigador Secundario), Benalcazar Lopez, B. D. (Estudiante Investigador), Ayala Hernández, G. A. (Estudiante Investigador), Barragan Murillo, L. A. (Estudiante Investigador), Chalco Corella, J. M. (Estudiante Investigador), Barahona Quelal, B. J. (Estudiante Investigador), Alarcon Villegas, J. M. (Estudiante Investigador), Moreno Falcony, P. A. (Estudiante Investigador), Ganan Gainza, C. X. (Estudiante Investigador) & Andrade Montoya, P. A. (Estudiante Investigador)
1/01/16 → 31/12/16
Proyecto: Investigación y Desarrollo

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Matched Channel Allocation for Advanced Metering Infrastructure based on Cognitive Mobile Virtual Network Operator

Resumen

ODS de las Naciones Unidas

Areas de Conocimiento del CACES

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Huella

Proyectos

Infraestructura de Medición Avanzada y Respuesta de la Demanda de Energía Eléctrica en Smart Grid

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