Design and analysis of Maxwell fisheye lens based beamformer

Abbasi, Muhammad Ali Babar, Ansari, Rafay, Machado, Gabriel G. and Fusco, Vincent F. (2021) Design and analysis of Maxwell fisheye lens based beamformer. Scientific Reports, 11 (1). p. 22739. ISSN 2045-2322

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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.

Item Type: Article
Additional Information: Funding information: This work was partially supported by the Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/P000673/1 and Grant EP/S007954/1.
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Elena Carlaw
Date Deposited: 02 Dec 2021 15:13
Last Modified: 23 May 2022 03:32

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