Orientation Aware Intelligent 3D Cubic Antenna System with Automated Radiation Pattern Reconfigurability

Maria Bermudez Arboleda, Kirill Klionovski, Zhen Su, Atif Shamim

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

With the era of Internet of Things (IoT), antennas that can adapt to different radio frequency environments have become highly desirable. These reconfigurable antennas must be compact to suit the futuristic IoT devices, be low cost for implementation on billions of devices, and be robust to the presence of nearby electronics. This paper demonstrates a novel 2.4 GHz 3D Cubic Antenna System, which comprises of a cube package with six microstrip patch antennas, one on each face. The system with embedded electronics, is aware of its orientation and reconfigures its radiation pattern automatically by switching ON the appropriate patch antenna for a focused communication with a boresight receiver. Alternately, if the position of the receiver is unknown, a quasi-isotropic radiation pattern can be achieved by providing the right phase conditions to all the patches to radiate simultaneously. The ground plane of the antennas provides a shield between the radiators and the electronics. In the focused mode, 10 dB more power is received as compared to the quasi-isotropic mode, which results in an energy efficient communication. While the quasi-isotropic mode provides an all-around radiation coverage with a gain variation of 6.4 dB for the entire 3D sphere, which is one of the best reported experimental value in literature for IoT compatible antenna systems.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Open Journal of Antennas and Propagation
DOIs
StatePublished - Jul 12 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-09-14
Acknowledged KAUST grant number(s): 2019-CRG8-4056.2
Acknowledgements: This work is supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under
Award No 2019-CRG8-4056.2.

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