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FiWi network planning for smart metering based on multistage stochastic programming

Abstract:

This article presents a novel model of mixed integer linear programming (MILP) to conduct network planning (FiberWirelessFiWi) that along a timeline space facilitates growth, expansion and scalability of resources involved in communications network, traditionally used in cellular telephony, and is possible that extends as a multiservice network to provide smart metering, as is the case in Advanced Metering Infrastructure (AMI) in Smart Grid, thus optimizing their infrastructure and minimizing investment costs. This paper proposes a hybrid architecture (fiber optic-wireless networks) with realistic approaches to planning and scalability considerations under scenarios that present uncertainty in the evolution of consumer demand, both for primary users of cell phone and smart metering as a secondary user. We propose a model for network planning based on Multistage Stochastic Programming (MSP) with a growth in demand for stochastic users and FiWi networks scalability through expected maximum benefit for their investment. The approach of this article shows that it is possible to design real FiWi largescale networks under a cost-effective evolution considering a scheme appropriate growth in the timeline.