Design and analysis of Maxwell fisheye lens based beamformer

Muhammad Ali Babar Abbasi, Rafay I. Ansari, Gabriel Goncalves Machado, Vincent Fusco

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
9 Downloads (Pure)


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
Pages (from-to)1-8
Number of pages8
JournalScientific Reports
Publication statusPublished (in print/issue) - 23 Nov 2021


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