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

Abstract:

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.