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Folded Comb-line Array for Backscattering-based Bodycentric Communications in the 5G sub-6 GHz Band

Occhiuzzi, Cecilia, Hughes, Jack, Venturi, Francesco, Batchelor, John C., Marrocco, Gaetano (2022) Folded Comb-line Array for Backscattering-based Bodycentric Communications in the 5G sub-6 GHz Band. IEEE Transactions on Antennas and Propagation, 70 (7). ISSN 0018-926X. E-ISSN 1558-2221. (doi:10.1109/TAP.2022.3161287) (KAR id:93695)

Abstract

Growing interest in IoT and Healthcare pushes the exploration of innovative solutions for connecting our bodies to external systems. The need for devices interoperability combined with data rate considerations, and low power consumption make 5G backscattering-based communications a promising opportunity, especially in the low sub-6 GHz band. Starting from a monolithic array, this paper proposes a skin-mountable miniaturized antenna suitable for 3.6 GHz body-centric backscattering communications. The array is an improved version of the comb-line antenna, which simultaneously optimizes size and radiation features. The horizontal segments are folded such to place the radiating dipoles closer and increase the radiation efficiency of the structure by co-phasing a single component of the surface currents. Parametric analysis obtains optimal configurations in terms of gain and size. Compared to conventional layout, the miniaturized array has an efficiency 6 dB higher and an area 80% smaller while the improved structure provides a theoretical read distance of more than 4 m. Measurements on a volunteer corroborate the improved performance.

Item Type: Article
DOI/Identification number: 10.1109/TAP.2022.3161287
Projects: Formulating and Manufacturing Low Profile Integrated Batteries for Wireless Sensing Labels
Uncontrolled keywords: Wearable antenna array, backscattering communication, 5G
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK6540 Radio > TK6570.M6 Mobile communication systems
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: John Batchelor
Date Deposited: 21 Mar 2022 18:01 UTC
Last Modified: 27 Feb 2024 11:23 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/93695 (The current URI for this page, for reference purposes)

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