Estado del arte, OMV para Infraestructura de Medicion Avanzada basado en radio cognitiva para la asignacion del canal (State of Art, MVNO for Advanced Metering Infrastructure basad on Radio Cognitive for Channel Allocation)

Giovanny Romero (, Esteban Inga (

1Giovanny Romero
2Esteba Inga-Ortega

This paper appears in: Revista IEEE América Latina

Publication Date: Sept. 2015
Volume: 13,   Issue: 9 
ISSN: 1548-0992

In this paper we verify the possibility of implementing an AMI infrastructure used part of a cellular network infrastructure that is already installed and running, without the new secondary network (AMI) affects to the subscribers of the core network (MNO), taking advantage of the new models of spectrum utilization, the dynamic spectrum access (DAS), recognition of empty spaces that are within the communications infrastructure. The goal is to implement AMI economically and ensuring that both operators are not affected even if the number of users increases, the possibility of using meta-heuristic algorithms in order to optimize the recognition of a blank in the analyzed transmission medium for AMI enter to operate as an MVNO, and the best that AMI can be a C-MVNO to reduce rental costs of the channel.

Index Terms:
smart grids, advanced metering infrastructure (AMI), cellular networks, smart meter, mobile virtual network operator (MVNO), cognitive-mobile virtual network operator (C-MVNO), allocation, matching, asignament, fairness, compressed sensing, wavelet.,   

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