Title :
State of Art, MVNO for Advanced Metering Infrastructure basad on Radio Cognitive for Channel Allocation
Author :
Romero, G. ; Inga, E.
Author_Institution :
Univ. Politec. Salesiana, Quito, Ecuador
Abstract :
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.
Keywords :
cellular radio; channel allocation; cognitive radio; AMI infrastructure; DAS; advanced metering infrastructure; blank recognition; cellular network infrastructure; channel allocation; communications infrastructure; core network; dynamic spectrum access; meta-heuristic algorithms; mobile virtual network operator; radio cognitive; secondary network; spectrum utilization; state of art MVNO; transmission medium; GSM; Ground penetrating radar; Mobile communication; Mobile computing; Multiaccess communication; Smart grids; Subspace constraints; advanced metering infrastructure (AMI); allocation; asignament; cellular networks; cognitive-mobile virtual network operator (C-MVNO); compressed sensing; fairness; matching; mobile virtual network operator (MVNO); smart grids; smart meter; wavelet;
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
DOI :
10.1109/TLA.2015.7350051