Leveraging the role of dynamic reconfigurable antennas in viewpoint of industry 4.0 and beyond

Jabbar, A. , Jamshed, M. A., Abbasi, Q. , Imran, M. A. and Ur Rehman, M. (2023) Leveraging the role of dynamic reconfigurable antennas in viewpoint of industry 4.0 and beyond. Research, 6, 0110. (doi: 10.34133/research.0110)

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Industry 4.0 is a digital paradigm which refers to the integration of cutting-edge computing and digital technologies into global industries due to which the state of manufacturing, communication, and control of smart industries has changed altogether. Industry 4.0 has been profoundly influenced by some major disruptive technologies such as the Internet of Things, smart sensors, machine learning and artificial intelligence, cloud computing, big data analytics, advanced robotics, augmented reality, 3D printing, and smart adaptive communication. In this review paper, we discuss physical layer-based solutions with a focus on high reliability and seamless connectivity for Industry 4.0 and beyond applications. First, we present a harmonized review of the industrial revolution journey, industrial communication infrastructure, key performance requirements, and potential sub-6 GHz frequency bands. Then based on that, we present a comprehensive review of intelligent tunable dynamic antenna systems at sub-6 GHz as key enablers for next-generation smart industrial applications. State-of-the-art smart antenna techniques such as agile pattern reconfigurability using electrical components, machine learning and artificial intelligence-based agile beam-scanning antennas, and beam-steerable dynamic metasurface antennas (DMAs) are thoroughly reviewed and emphasized. We unfolded the exciting prospects of reconfigurable dynamic antennas for intelligent and reliable connectivity in application scenarios of Industry 4.0 and beyond such as Industrial IoT and smart manufacturing.

Item Type:Articles
Additional Information:This paper was partially supported by ICRG PAK-UK Education Gateway (2020), funded Project No. 310366 - DePWiSeN.
Glasgow Author(s) Enlighten ID:Jabbar, Abdul and Imran, Professor Muhammad and Ur Rehman, Dr Masood and Jamshed, Dr Muhammad Ali and Abbasi, Dr Qammer
Creator Roles:
Jabbar, A.Conceptualization, Investigation, Methodology, Writing – original draft
Abbasi, Q.Conceptualization, Resources, Visualization
Imran, M.Funding acquisition, Resources
Ur Rehman, M.Funding acquisition, Resources, Supervision, Writing – original draft
Jamshed, M. A.Writing – review and editing
Authors: Jabbar, A., Jamshed, M. A., Abbasi, Q., Imran, M. A., and Ur Rehman, M.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:Research
Publisher:American Association for the Advancement of Science
ISSN (Online):2639-5274
Published Online:20 March 2023
Copyright Holders:Copyright © 2023 The Authors
First Published:First published in Research 6:0110
Publisher Policy:Reproduced under a Creative Commons License

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