Matencio-Escolar, Antonio, Alcaraz-Calero, Jose M., Salva-Garcia, Pablo, Bernabe, Jorge Bernal and Wang, Qi (2021). Adaptive network slicing in multi-tenant 5G IoT networks. IEEE Access, 9 , 14048 - 14069.
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.
Publication DOI: | https://doi.org/10.1109/ACCESS.2021.3051940 |
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Divisions: | College of Engineering & Physical Sciences College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies Aston University (General) |
Funding Information: | 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 o |
Additional Information: | This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
Uncontrolled Keywords: | 5G,Internet of Things (IoT),network management,network slicing,quality of service (QoS),software defined networks (SDN) |
Publication ISSN: | 2169-3536 |
Last Modified: | 06 May 2025 17:01 |
Date Deposited: | 28 Apr 2025 15:14 |
Full Text Link: | |
Related URLs: |
https://ieeexpl ... ocument/9326395
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2021-01-26 |
Published Online Date: | 2021-01-18 |
Accepted Date: | 2021-01-04 |
Authors: |
Matencio-Escolar, Antonio
Alcaraz-Calero, Jose M. ( ![]() Salva-Garcia, Pablo Bernabe, Jorge Bernal Wang, Qi |