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Smart Grid: a demanding use case for 5G technologies

Authors: Helen C. Leligou; Theodore B. Zahariadis; Lambros Sarakis; Eleftherios Tsampasis; Artemis C. Voulkidis; Terpsichori Helen Velivassaki;

Smart Grid: a demanding use case for 5G technologies

Abstract

The energy sector represents undoubtedly one of the most significant “test cases” for 5G enabling technologies, due to the need of addressing a huge range of very diverse requirements to deal with across a variety of applications(stringent capacity for smart metering/AMI versus latency for supervisory control and fault localization). However, to effectively support energy utilities along their transition towards more decentralized renewable-oriented systems, several open issues still remain as to 5G networks management automation, security, resilience, scalability and portability. To face these issues, we outline a novel 5G PPP-compliant software framework specifically tailored to the energy domain, which combines i)trusted, scalable and lock-in free plug ‘n’ play support for a variety of constrained devices; ii) 5G devices’ abstractions to demonstrate mMTC (massive Machine Type Communications), uMTC (critical MTC) and xMBB (Extended Massive BroadBand) communications coupled with partially distributed, trusted, end-to-end security and MCM to enable secure, scalable and energy efficient communications; iii) extended Mobile Edge Computing (xMEC) micro-clouds to reduce backhaul load, increase the overall network capacity and reduce delays, while facilitating the deployment of generic MTC related NFVs (Network Function Virtualisation) and utility-centric VNF(Virtual Network Functions).

This work is part of the NRG-5 project which has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 762013.

Keywords

Virtual Network Functions, demand response, 5G Networks, preventive maintenance, Machine Type Communications, resilience, Smart energy grids

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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