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

被引：8

作者：

Carrillo, Dick ^{[1
]}

Kalalas, Charalampos ^{[2
]}

Raussi, Petra ^{[3
]}

Michalopoulos, Diomidis S. ^{[4
]}

Rodriguez, Demostenes Z. ^{[5
]}

Kokkoniemi-Tarkkanen, Heli ^{[6
]}

Ahola, Kimmo ^{[6
]}

Nardelli, Pedro H. J. ^{[7
,8
]}

Fraidenraich, Gustavo ^{[9
]}

Popovski, Petar ^{[10
]}

机构：

[1] Lappeenranta Lahti Univ Technol, Lappeenranta, Finland

[2] Ctr Tecnol Telecomunicac Catalunya CTTC CERCA, Barcelona, Spain

[3] Aalto Univ, Espoo, Finland

[4] Nokia, Munich, Germany

[5] Univ Fed Lavras, Lavras, Brazil

[6] VTT Tech Res Ctr Finland, Tampere, Finland

[7] LUT Univ, Lappeenranta, Finland

[8] Univ Oulu, Oulu, Finland

[9] Univ Estadual Campinas, Campinas, Brazil

[10] Aalborg Univ, Aalborg, Denmark

来源：

IEEE WIRELESS COMMUNICATIONS | 2023年 / 30卷 / 05期

基金：

芬兰科学院;

关键词：

Smart grids; 5G mobile communication; Monitoring; Business; Ultra reliable low latency communication; Reliability; Power systems; NETWORKS;

D O I：

10.1109/MWC.004.2200079

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Fifth-generation (5G) and beyond systems are expected to accelerate the ongoing transformation of power systems toward the smart grid. However, the inherent heterogeneity in smart grid services and requirements pose significant challenges toward 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 (Al) 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 self-healing use case. Our research outcomes advocate the adoption of emerging Al-native approaches for RAN slicing in beyond-5G systems, and lay the foundations for differentiated service provisioning in the smart grid.

引用

页码：170 / 178

页数：9

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