Current sheet antenna array and 5G: challenges, recent trends, developments, and future directions

Hussain, S. , Qu, S.-W., Sharif, A. B., Abubakar, H. S., Wang, X.-H., Imran, M. A. and Abbasi, Q. H. (2022) Current sheet antenna array and 5G: challenges, recent trends, developments, and future directions. Sensors, 22(9), 3329. (doi: 10.3390/s22093329) (PMID:35591019) (PMCID:PMC9102463)

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Abstract

Designing an ultra-wideband array antenna for fifth generation (5G) is challenging for the antenna designing community because of the highly fragmented electromagnetic spectrum. To overcome bandwidth limitations, several millimeter-wave bands for 5G and beyond applications are considered; as a result, many antenna arrays have been proposed during the past decades. This paper aims to explore recent developments and techniques regarding a specific type of phased array antenna used in 5G applications, called current sheet array (CSA). CSA consists of capacitively coupled elements placed over a ground plane, with mutual coupling intentionally introduced in a controlled manner between the elements. CSA concept evolved and led to the realization of new array antennas with multiple octaves of bandwidth. In this review article, we provide a comprehensive overview of the existing works in this line of research. We analyze and discuss various aspects of the proposed array antennas with the wideband and wide-scan operation. Additionally, we discuss the significance of the phased array antenna in 5G communication. Moreover, we describe the current research challenges and future directions for CSA-based phased array antennas.

Item Type:Articles
Additional Information:This research work is supported in parts by EPSRC IAA award is EP/R511705/1.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Sharif, Dr Abu Bakar and Abbasi, Professor Qammer and Imran, Professor Muhammad and Hussain, Dr Sajjad
Creator Roles:
Hussain, S.Conceptualization, Methodology, Formal analysis, Investigation, Data curation, Writing – original draft, Visualization
Sharif, A. B.Validation, Writing – review and editing
Imran, M.Supervision, Funding acquisition
Abbasi, Q.Writing – review and editing, Funding acquisition
Authors: Hussain, S., Qu, S.-W., Sharif, A. B., Abubakar, H. S., Wang, X.-H., Imran, M. A., and Abbasi, Q. H.
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
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Sensors
Publisher:MDPI
ISSN:1424-8220
ISSN (Online):1424-8220
Published Online:26 April 2022
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in Sensors 22(9):3329
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
309324Optimisation of prediction models for red blood cell demandAlice MillerEngineering and Physical Sciences Research Council (EPSRC)EP/R511705/1Computing Science