Design and analysis of Maxwell fisheye lens based beamformer

Abstract Antenna arrays and multi-antenna systems are essential in beyond 5G wireless networks for providing wireless connectivity, especially in the context of Internet-of-Everything. To facilitate this requirement, beamforming technology is emerging as a key enabling solution for adaptive on-deman...

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Autores principales:	Muhammad Ali Babar Abbasi, Rafay I. Ansari, Gabriel G. Machado, Vincent F. Fusco
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/551e36e0b31b414d8c8638838fa00b49
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spelling	oai:doaj.org-article:551e36e0b31b414d8c8638838fa00b492021-11-28T12:17:01ZDesign and analysis of Maxwell fisheye lens based beamformer10.1038/s41598-021-02058-92045-2322https://doaj.org/article/551e36e0b31b414d8c8638838fa00b492021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02058-9https://doaj.org/toc/2045-2322Abstract Antenna arrays and multi-antenna systems are essential in beyond 5G wireless networks for providing wireless connectivity, especially in the context of Internet-of-Everything. To facilitate this requirement, beamforming technology is emerging as a key enabling solution for adaptive on-demand wireless coverage. Despite digital beamforming being the primary choice for adaptive wireless coverage, a set of applications rely on pure analogue beamforming approaches, e.g., in point-to-multi point and physical-layer secure communication links. In this work, we present a novel scalable analogue beamforming hardware architecture that is capable of adaptive 2.5-dimensional beam steering and beam shaping to fulfil the coverage requirements. Beamformer hardware comprises of a finite size Maxwell fisheye lens used as a scalable feed network solution for a semi-circular array of monopole antennas. This unique hardware architecture enables a flexibility of using 2 to 8 antenna elements. Beamformer development stages are presented while experimental beam steering and beam shaping results show good agreement with the estimated performance.Muhammad Ali Babar AbbasiRafay I. AnsariGabriel G. MachadoVincent F. FuscoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Muhammad Ali Babar Abbasi Rafay I. Ansari Gabriel G. Machado Vincent F. Fusco Design and analysis of Maxwell fisheye lens based beamformer
description	Abstract Antenna arrays and multi-antenna systems are essential in beyond 5G wireless networks for providing wireless connectivity, especially in the context of Internet-of-Everything. To facilitate this requirement, beamforming technology is emerging as a key enabling solution for adaptive on-demand wireless coverage. Despite digital beamforming being the primary choice for adaptive wireless coverage, a set of applications rely on pure analogue beamforming approaches, e.g., in point-to-multi point and physical-layer secure communication links. In this work, we present a novel scalable analogue beamforming hardware architecture that is capable of adaptive 2.5-dimensional beam steering and beam shaping to fulfil the coverage requirements. Beamformer hardware comprises of a finite size Maxwell fisheye lens used as a scalable feed network solution for a semi-circular array of monopole antennas. This unique hardware architecture enables a flexibility of using 2 to 8 antenna elements. Beamformer development stages are presented while experimental beam steering and beam shaping results show good agreement with the estimated performance.
format	article
author	Muhammad Ali Babar Abbasi Rafay I. Ansari Gabriel G. Machado Vincent F. Fusco
author_facet	Muhammad Ali Babar Abbasi Rafay I. Ansari Gabriel G. Machado Vincent F. Fusco
author_sort	Muhammad Ali Babar Abbasi
title	Design and analysis of Maxwell fisheye lens based beamformer
title_short	Design and analysis of Maxwell fisheye lens based beamformer
title_full	Design and analysis of Maxwell fisheye lens based beamformer
title_fullStr	Design and analysis of Maxwell fisheye lens based beamformer
title_full_unstemmed	Design and analysis of Maxwell fisheye lens based beamformer
title_sort	design and analysis of maxwell fisheye lens based beamformer
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/551e36e0b31b414d8c8638838fa00b49
work_keys_str_mv	AT muhammadalibabarabbasi designandanalysisofmaxwellfisheyelensbasedbeamformer AT rafayiansari designandanalysisofmaxwellfisheyelensbasedbeamformer AT gabrielgmachado designandanalysisofmaxwellfisheyelensbasedbeamformer AT vincentffusco designandanalysisofmaxwellfisheyelensbasedbeamformer
_version_	1718408077076594688

Design and analysis of Maxwell fisheye lens based beamformer

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