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Design and analysis of Maxwell fisheye lens based beamformer

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 wireles...

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Autores principales: Abbasi, Muhammad Ali Babar, Ansari, Rafay I., Machado, Gabriel G., Fusco, Vincent F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610995/
https://www.ncbi.nlm.nih.gov/pubmed/34815440
http://dx.doi.org/10.1038/s41598-021-02058-9
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author Abbasi, Muhammad Ali Babar
Ansari, Rafay I.
Machado, Gabriel G.
Fusco, Vincent F.
author_facet Abbasi, Muhammad Ali Babar
Ansari, Rafay I.
Machado, Gabriel G.
Fusco, Vincent F.
author_sort Abbasi, Muhammad Ali Babar
collection PubMed
description 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.
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spelling pubmed-86109952021-11-24 Design and analysis of Maxwell fisheye lens based beamformer Abbasi, Muhammad Ali Babar Ansari, Rafay I. Machado, Gabriel G. Fusco, Vincent F. Sci Rep Article 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. Nature Publishing Group UK 2021-11-23 /pmc/articles/PMC8610995/ /pubmed/34815440 http://dx.doi.org/10.1038/s41598-021-02058-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Abbasi, Muhammad Ali Babar
Ansari, Rafay I.
Machado, Gabriel G.
Fusco, Vincent F.
Design and analysis of Maxwell fisheye lens based beamformer
title 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_short Design and analysis of Maxwell fisheye lens based beamformer
title_sort design and analysis of maxwell fisheye lens based beamformer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610995/
https://www.ncbi.nlm.nih.gov/pubmed/34815440
http://dx.doi.org/10.1038/s41598-021-02058-9
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