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Multi-Layer 5G Network Slicing with UAVs: An Optimization Model

Gabriella Colajanni () and Daniele Sciacca ()
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Gabriella Colajanni: University of Catania
Daniele Sciacca: University of Catania

Networks and Spatial Economics, 2023, vol. 23, issue 3, No 9, 755-769

Abstract: Abstract In this paper, we present a network-based optimization model describing a closed-loop supply chain for the provision of 5G network slices on demand to users and devices on the ground. The three-tier supply chain network consists of a fleet of pre-existing UAVs, to which others can be added, managed by a fleet of UAV controllers, whose purpose is to perform services requested by users and devices on the ground. The aim of this paper is to provide a constrained optimization problem through which the providers’ profits are maximized, determining the global optimal distributions of request flows, the global optimal distributions of executed services and the optimal reliability level of pre-existing UAVs of the fleet. We also derive the associated Variational inequality formulation of the problem and, finally, a numerical simulation is performed to validate the effectiveness of the model.

Keywords: Optimization; Closed-loop supply chain network; UAVs and 5G; Variational inequality theory; Operations research (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11067-023-09595-y

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