Adaptive network slicing in multi-tenant 5G IoT networks

Antonio Matencio-Escolar; Jose M. Alcaraz-Calero; Pablo Salva-Garcia; Jorge Bernal Bernabe; Qi Wang

doi:10.1109/ACCESS.2021.3051940

Adaptive network slicing in multi-tenant 5G IoT networks

Antonio Matencio-Escolar
, Jose M. Alcaraz-Calero^*
, Pablo Salva-Garcia
, Jorge Bernal Bernabe
, Qi Wang

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

52 Citations (Scopus)

84 Downloads (Pure)

Abstract

The Fifth Generation (5G) mobile networking coupled with Internet of Things (IoT) can provide innovative solutions for a wide range of uses cases. The flexibility of virtualized, softwarized and multi-tenant infrastructures and the high performance promised by 5G technology are key to cope with the deployment of the IoT use cases demanded by various vertical businesses. Such 5G IoT use cases incur challenging Quality of Service (QoS) requirements especially connectivity for millions of IoT devices to achieve massive Machine-Type Communication (mMTC). In addition, network slicing is a key enabling technology in 5G multi-tenant networks to create logical virtualized networks for delivering customised solutions to meet diverse QoS requirements. This work presents a 5G IoT framework with network slicing capabilities able to manage a vast number of heterogeneous IoT network slices dynamically on demand. The proposed solution has been empirically tested and validated in five realistic vertical-oriented IoT use cases. The achieved results demonstrate a excellent stability, isolation and scalability while being able to meet extreme QoS requirements even in the most congested and stressful scenarios.

Original language	English
Article number	3051940
Pages (from-to)	14048 - 14069
Number of pages	22
Journal	IEEE Access
Volume	9
Early online date	18 Jan 2021
DOIs	https://doi.org/10.1109/ACCESS.2021.3051940
Publication status	Published - 26 Jan 2021

Bibliographical note

This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/

Funding

This work was supported in part by the European Commission through the project 6G Bringing Reinforcement learning Into Radio Light Network for Massive Connections (BRAINS) under Grant H2020-ICT-2020-2/101017226, and in part by the University of the West of Scotland 5G (UWS 5G) Video Laboratory project.

Keywords

5G
Internet of Things (IoT)
network management
network slicing
quality of service (QoS)
software defined networks (SDN)

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10.1109/ACCESS.2021.3051940Licence: CC BY 4.0

Adaptive_Network_Slicing_in_Multi-Tenant_5G_IoT_Networks
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
Final published version, 6.31 MBLicence: CC BY 4.0

Cite this

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title = "Adaptive network slicing in multi-tenant 5G IoT networks",

abstract = "The Fifth Generation (5G) mobile networking coupled with Internet of Things (IoT) can provide innovative solutions for a wide range of uses cases. The flexibility of virtualized, softwarized and multi-tenant infrastructures and the high performance promised by 5G technology are key to cope with the deployment of the IoT use cases demanded by various vertical businesses. Such 5G IoT use cases incur challenging Quality of Service (QoS) requirements especially connectivity for millions of IoT devices to achieve massive Machine-Type Communication (mMTC). In addition, network slicing is a key enabling technology in 5G multi-tenant networks to create logical virtualized networks for delivering customised solutions to meet diverse QoS requirements. This work presents a 5G IoT framework with network slicing capabilities able to manage a vast number of heterogeneous IoT network slices dynamically on demand. The proposed solution has been empirically tested and validated in five realistic vertical-oriented IoT use cases. The achieved results demonstrate a excellent stability, isolation and scalability while being able to meet extreme QoS requirements even in the most congested and stressful scenarios.",

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Adaptive network slicing in multi-tenant 5G IoT networks

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Keywords

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