Hardware-Based Network Slicing for Supporting Smart Grids Self-Healing over 5G Networks

Ricart‐Sanchez, Ruben; Aleixo, Ana Cristina; Wang, Qi; Calero, José M. Alcaraz

doi:10.1109/iccworkshops49005.2020.9145088

Cited by 11 publications

(8 citation statements)

References 13 publications

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“…To evaluate the feasibility of the proposed RAN slicing framework, we consider the smart grid self-healing scenario in [12], where automatic reconfiguration occurs after a shortcircuit fault. The IEDs, smart substation controllers (SSCs), and merging units (MUs) are equipped with 5G interfaces to transmit IEC 61850 messages in a multicell network topology.…”

Section: A Network Scenariomentioning

confidence: 99%

Boosting 5G on Smart Grid Communication: A Smart RAN Slicing Approach

Carrillo¹,

Kalalas²,

Raussi³

et al. 2023

IEEE Wireless Commun.

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and beyond systems are expected to accelerate the ongoing transformation of power systems towards the smart grid. However, the inherent heterogeneity in smart grid services and requirements pose significant challenges towards the definition of a unified network architecture. In this context, radio access network (RAN) slicing emerges as a key 5G enabler to ensure interoperable connectivity and service management in the smart grid. This article introduces a novel RAN slicing framework which leverages the potential of artificial intelligence (AI) to support IEC 61850 smart grid services. With the aid of deep reinforcement learning, efficient radio resource management for RAN slices is attained, while conforming to the stringent performance requirements of a smart grid selfhealing use case. Our research outcomes advocate the adoption of emerging AI-native approaches for RAN slicing in beyond-5G systems, and lay the foundations for differentiated service provisioning in the smart grid.

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Section: A Network Scenariomentioning

confidence: 99%

Boosting 5G on Smart Grid Communication: A Smart RAN Slicing Approach

Carrillo¹,

Kalalas²,

Raussi³

et al. 2023

IEEE Wireless Commun.

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“…For example, according to the report of Global System for Mobile communications Association (GSMA) 25 that China Telecom, State Grid Corporation of China (SGCC), and Huawei completed the first network slice for power grid in 2019. Meanwhile, the work [165] reported a 5G network-based testbed of the self-healing network slice for smart grid. This project has essentially been funded by the European Commission Horizon 2020 5G PPP Programme.…”

Section: ) Deployment Issues (Feasibility Study)mentioning

confidence: 99%

A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory

Dai²,

Wang

et al. 2022

IEEE Commun. Surv. Tutorials

166

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“…Figure 17 illustrates the SliceNet overall system architecture. The framework applies to many vertical sectors [23], SliceNet UCs in eHealth, Smart Grid [95], and Street Lighting were demonstrated. The deliverable in terms of dissemination, exploitation, and standardization was another achievement of the project [96].…”

Section: Figure 15 Service-based Network Slicing Based On the Ue Typementioning

confidence: 99%

5G Mobile Communication Applications: A Survey and Comparison of Use Cases

et al. 2021

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The mobile demands and future business context are anticipated to be resolved by the fifthgeneration (5G) of mobile communication systems. It is expected to provide an utterly mobile device, connected society, and support the demanding services of various use cases (UCs). This is intended to meet the demand requirement by providing services at tens of Gbps in terms of data rates, higher mobility range, lower latencies, and massive connectivity density devices per square kilometer. A comprehensive and up-todate survey of the different developed and proposed use cases is presented in this paper. The first part of the paper presents the overview of the new 5G Architecture by introducing new features such as the new radio interface (New Radio), an overview of the 5G Core Network, minimum requirements, and the Radio Access Network, 5G spectrum requirements and other fundamentals of the network. Secondly, a detailed review of the developed and proposed use cases for 5G communications by the standards development organizations (SDO) and other key players in mobile communication is provided. Thirdly, we went ahead to propose spectrum bands for the deployment of the various use cases based on the low-, mid-, and high-band spectrum and further classified the use cases with respect to their relevance and family, identifying the IMT-2020 test environments and the usage scenarios derived by the 3GPP, fourthly, the channel capacity and the bandwidth of the spectrum was studied, simulated and compared to ascertain the spectrum proposed in this paper for each UC family. Hence, this paper serves as a guideline for understanding the usage scenarios for the future 5G deployment in various environments. This would allow system developers to design and implement 5G channel characterization models specific to the usage scenarios to meet the system requirements.

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Hardware-Based Network Slicing for Supporting Smart Grids Self-Healing over 5G Networks

Cited by 11 publications

References 13 publications

Boosting 5G on Smart Grid Communication: A Smart RAN Slicing Approach

Boosting 5G on Smart Grid Communication: A Smart RAN Slicing Approach

A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory

5G Mobile Communication Applications: A Survey and Comparison of Use Cases

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