5G-CLARITY : 5G-advanced private networks integrating 5GNR, WiFi, and LiFi
Cogalan, T. and Camps-Mur, D. and Gutiérrez, J. and Videv, S. and Sark, V. and Prados-Garzon, J. and Ordonez-Lucena, J. and Khalili, H. and Cañellas, F. and Fernández-Fernández, A. and Goodarzi, M. and Yesilkaya, A. and Bian, R. and Raju, S. and Ghoraishi, M. and Haas, H. and Adamuz-Hinojosa, O. and Garcia, A. and Colman-Meixner, C. and Mourad, A. and Aumayr, E. (2022) 5G-CLARITY : 5G-advanced private networks integrating 5GNR, WiFi, and LiFi. IEEE Communications Magazine, 60 (2). pp. 73-79. ISSN 0163-6804 (https://doi.org/10.1109/MCOM.001.2100615)
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Abstract
The future of the manufacturing industry highly depends on digital systems that transform existing production and monitoring systems into autonomous systems fulfilling stringent requirements in terms of availability, reliability, security, low latency, and positioning with high accuracy. In order to meet such requirements, private 5G networks are considered as a key enabling technology. In this article, we introduce the 5G-CLARITY system that integrates 5GNR, WiFi, and LiFi access networks, and develops novel management enablers to operate 5G-Advanced private networks. We describe three core features of 5G-CLARITY, including a multi-connectivity framework, a high-precision positioning server, and a management system to orchestrate private network slices. These features are evaluated by means of packet-level simulations and an experimental testbed demonstrating the ability of 5G-CLARITY to police access network traffic, to achieve centimeter-level positioning accuracy, and to provision private network slices in less than one minute.
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Item type: Article ID code: 80633 Dates: DateEvent28 February 2022Published1 February 2022AcceptedNotes: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 10 May 2022 13:38 Last modified: 02 Dec 2024 01:26 URI: https://strathprints.strath.ac.uk/id/eprint/80633