Design and analysis of Maxwell fisheye lens based beamformer

Muhammad Ali Babar Abbasi*, Rafay Iqbal Ansari, Gabriel G. Machado, Vincent Fusco

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Downloads (Pure)

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.
Original languageEnglish
Article number22739
Number of pages8
JournalScientific Reports
Volume11
Issue number1
Early online date23 Nov 2021
DOIs
Publication statusPublished - Dec 2021

Fingerprint

Dive into the research topics of 'Design and analysis of Maxwell fisheye lens based beamformer'. Together they form a unique fingerprint.

Cite this