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6G Opportunities Arising from Internet of Things Use Cases: A Review Paper

Barakat, Basel, Taha, Ahmad, Samson, Ryan, Steponenaite, Aiste, Ansari, Shuja, Langdon, Patrick, Wassell, Ian, Abbasi, Qammer H., Imran, Muhammad Ali, Keates, Simeon and others. (2021) 6G Opportunities Arising from Internet of Things Use Cases: A Review Paper. Future Internet, 13 (6). Article Number 159. ISSN 1999-5903. (doi:10.3390/fi13060159) (KAR id:99750)

Abstract

The race for the 6th generation of wireless networks (6G) has begun. Researchers around the world have started to explore the best solutions for the challenges that the previous generations have experienced. To provide the readers with a clear map of the current developments, several review papers shared their vision and critically evaluated the state of the art. However, most of the work is based on general observations and the big picture vision, and lack the practical implementation challenges of the Internet of Things (IoT) use cases. This paper takes a novel approach in the review, as we present a sample of IoT use cases that are representative of a wide variety of its implementations. The chosen use cases are from the most research-active sectors that can benefit from 6G and its enabling technologies. These sectors are healthcare, smart grid, transport, and Industry 4.0. Additionally, we identified some of the practical challenges and the lessons learned in the implementation of these use cases. The review highlights the cases’ main requirements and how they overlap with the key drivers for the future generation of wireless networks.

Item Type: Article
DOI/Identification number: 10.3390/fi13060159
Uncontrolled keywords: wireless networks; 6G; Internet of Things (IoT); healthcare; transport; smart grid; Industry 4.0
Subjects: T Technology
Divisions: Divisions > Division of Natural Sciences > Medway School of Pharmacy
Funders: University of Kent (https://ror.org/00xkeyj56)
Depositing User: Aiste Steponenaite
Date Deposited: 29 Jan 2023 16:19 UTC
Last Modified: 30 Jan 2023 14:16 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/99750 (The current URI for this page, for reference purposes)

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