4.6 Article

A Multi-Site NFV Testbed for Experimentation With SUAV-Based 5G Vertical Services

期刊

IEEE ACCESS
卷 8, 期 -, 页码 111522-111535

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.3001985

关键词

Cloud computing; 5G mobile communication; Network function virtualization; Hardware; Software; Servers; Virtualization; Network functions virtualization (NFV); open source MANO (OSM); small unmanned aerial vehicles (SUAV); test facilities; vertical services

资金

  1. European Commission under the European Union's Horizon 2020 program (5GRANGE Project) [777137]
  2. 5GCity Project - Spanish Ministry of Economy and Competitiveness [TEC2016-76795-C6-1R, TEC2016-76795-C6-3R, TEC2016-76795-C6-5R]

向作者/读者索取更多资源

With the advent of 5G technologies, vertical markets have been placed at the forefront, as fundamental drivers and adopters of technical developments and new business models. Small Unmanned Aerial Vehicles (SUAVs) are gaining traction in multiple vertical sectors, as key assets to generate, process, and distribute relevant information for the provision of value-added services. However, the enormous potential of SUAVs to support a flexible, rapid, and cost-effective deployment of vertical applications is still to be exploited. In this paper, we leverage our prior work on Network Functions Virtualization (NFV) and SUAVs to design and build a multi-site experimentation testbed based on open-source technologies. The goal of this testbed is to explore synergies among NFV, SUAVs, and vertical services, following a practical approach primarily governed by experimentation. To verify our testbed design, we realized a reference use case where a number of SUAVs, cloud infrastructures, and communication protocols are used to provide a multi-site vertical service. Our experimentation results suggest the potential of NFV and SUAVs to flexibly support vertical services. The lessons learned have served to identify missing elements in our NFV platform, as well as challenging aspects for potential improvement. These include the development of specific mechanisms to limit processing load and delays of service deployment operations.

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