In this paper, we propose a green backhaul infrastructure virtualization market for a renewable-powered cellular multi-hop backhaul network in which a virtual operator (VO) can use the backhaul networks of some assemble operators (AOs) to forward traffic to itself. In particular, some backhaul nodes (i.e., on-grid nodes) of each assemble operator are considered to be powered by renewable energy suppliers (RPSs). In response to stochastic traffic demand, the virtual operator sets traffic service prices it will pay to the assemble operators, and the assemble operators set energy prices they will pay to the RPSs. In addition, each AO should determine the amount of renewable energy that will be reserved for the off-grid node, and each RPS should determine how much energy should be stored. The simulation results provides insights on how to manage cellular backhaul virtualization pricing for the design of green dense smell cell networks in future mobile networks.
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On Distributed Cellular Backhaul Virtualization with Renewable-Powered Nodes
Semantic Scholar · Environmental Science · 2018
Abstract
In this paper, we propose a green backhaul infrastructure virtualization market for a renewable-powered cellular multi-hop backhaul network in which a virtual operator (VO) can use the backhaul networks of some assemble operators (AOs) to forward traffic to itself. In particular, some backhaul nodes (i.e., on-grid nodes) of each assemble operator are considered to be powered by renewable energy suppliers (RPSs). In response to stochastic traffic demand, the virtual operator sets traffic service prices it will pay to the assemble operators, and the assemble operators set energy prices they will pay to the RPSs. In addition, each AO should determine the amount of renewable energy that will be reserved for the off-grid node, and each RPS should determine how much energy should be stored. The simulation results provides insights on how to manage cellular backhaul virtualization pricing for the design of green dense smell cell networks in future mobile networks.