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Gain-reconfigurability hybrid metal-graphene printed Yagi antenna for energy harvesting applications
Citation
Alex Amor, Antonio and Palomares Caballero, Ángel and Fuente García, Elena de la and Muriel Barrado, Alfonso and Valenzuela Valdés, Juan F. and Fernández González, José Manuel and Padilla de La Torre, Pablo (2019). Gain-reconfigurability hybrid metal-graphene printed Yagi antenna for energy harvesting applications. In: "13th European Conference on Antennas and Propagation (EuCAP 2019)", 31/03/2019 - 05/04/2019, Cracovia, Polonia. ISBN 9781538681275. pp. 1-4.
Description
| Title: | Gain-reconfigurability hybrid metal-graphene printed Yagi antenna for energy harvesting applications |
|---|---|
| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | 13th European Conference on Antennas and Propagation (EuCAP 2019) |
| Event Dates: | 31/03/2019 - 05/04/2019 |
| Event Location: | Cracovia, Polonia |
| Title of Book: | Proceedings of 13th European Conference on Antennas and Propagation (EuCAP 2019) |
| Date: | August 2019 |
| ISBN: | 9781538681275 |
| Subjects: | |
| Freetext Keywords: | Graphene; Yagi antenna; tunable material; energy harvesting; reconfigurability |
| Faculty: | E.T.S.I. Telecomunicación (UPM) |
| Department: | Señales, Sistemas y Radiocomunicaciones |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
This paper presents a hybrid metal-graphene printed Yagi antenna with reconfigurable gain that operates in the 5.5-GHz band. The balun and the driven elements are made of copper, while the directors are made of graphene. The graphene acts as a tunable material in the design. By switching the conductivity of the graphene, it is achieved a similar effect to adding or subtracting directors in the antenna. Hence the gain of the printed Yagi can be easily controlled. This could be of special interest in RF energy harvesting in the design of reconfigurable harvesting elements.
Funding Projects
| Type | Code | Acronym | Leader | Title |
|---|---|---|---|---|
| Government of Spain | TIN2016-75097-P | Unspecified | Unspecified | Metaheuristicas aplicadas al diseño de redes 5G eficientes |
More information
| Item ID: | 64537 |
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| DC Identifier: | https://oa.upm.es/64537/ |
| OAI Identifier: | oai:oa.upm.es:64537 |
| Official URL: | https://www.eucap2019.org/ |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 01 Mar 2021 14:28 |
| Last Modified: | 01 Mar 2021 14:28 |
