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  5. A Functional Architecture for 6G Special-Purpose Industrial IoT Networks

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Article
English
2022

A Functional Architecture for 6G Special-Purpose Industrial IoT Networks

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English
2022
IEEE Transactions on Industrial Informatics
Vol 19 (3)
DOI: 10.1109/tii.2022.3182988

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Matti Latva-aho
Matti Latva-aho

University Of Oulu

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Nurul Huda Mahmood
Gilberto Berardinelli
Emil J. Khatib
+3 more

Abstract

Future industrial applications will encompass compelling new use cases requiring stringent performance guarantees over multiple key performance indicators, such as reliability, dependability, latency, time synchronization, security, etc. Achieving such stringent and diverse service requirements necessitates the design of a special-purpose Industrial-Internet-of-Things (IIoT) network comprising a multitude of specialized functionalities and technological enablers.This article proposes an innovative architecture for such a special-purpose sixth generation (6G) IIoT network incorporating seven functional building blocks categorized into special-purpose functionalities and enabling technologies.The former consists of Wireless Environment Control, Traffic/Channel Prediction, Proactive Resource Management, and End-to-End Optimization functions, whereas the latter includes Synchronization and Coordination, Machine Learning and Artificial Intelligence Algorithms, and Auxiliary Functions.The proposed architecture aims at providing a resource-efficient and holistic solution for the complex and dynamically challenging requirements imposed by future 6G industrial use cases.Selected test scenarios are provided and assessed to illustrate crossfunctional collaboration and demonstrate the applicability of the proposed architecture in a wireless IIoT network.Index Terms-Artificial intelligence (AI)

How to cite this publication

Nurul Huda Mahmood, Gilberto Berardinelli, Emil J. Khatib, Ramin Hashemi, César Thadeo de Lima, Matti Latva-aho (2022). A Functional Architecture for 6G Special-Purpose Industrial IoT Networks. IEEE Transactions on Industrial Informatics, 19(3), pp. 2530-2540, DOI: 10.1109/tii.2022.3182988.

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Publication Details

Type

Article

Year

2022

Authors

6

Datasets

0

Total Files

0

Language

English

Journal

IEEE Transactions on Industrial Informatics

DOI

10.1109/tii.2022.3182988

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