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Compact Multilayer Yagi-Uda Based Antenna for IoT/5G Sensors

To increase the capacity and performance of communication systems, the new generation of mobile communications (5G) will use frequency bands in the mmWave region, where new challenges arise. These challenges can be partially overcome by using higher gain antennas, Multiple-Input Multiple-Output (MIM...

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Detalles Bibliográficos
Autores principales: Ramos, Amélia, Varum, Tiago, Matos, João N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163165/
https://www.ncbi.nlm.nih.gov/pubmed/30200544
http://dx.doi.org/10.3390/s18092914
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author Ramos, Amélia
Varum, Tiago
Matos, João N.
author_facet Ramos, Amélia
Varum, Tiago
Matos, João N.
author_sort Ramos, Amélia
collection PubMed
description To increase the capacity and performance of communication systems, the new generation of mobile communications (5G) will use frequency bands in the mmWave region, where new challenges arise. These challenges can be partially overcome by using higher gain antennas, Multiple-Input Multiple-Output (MIMO), or beamforming techniques. Yagi-Uda antennas combine high gain with low cost and reduced size, and might result in compact and efficient antennas to be used in Internet of Thins (IoT) sensors. The design of a compact multilayer Yagi for IoT sensors is presented, operating at 24 GHz, and a comparative analysis with a planar printed version is shown. The stacked prototype reveals an improvement of the antenna’s main properties, achieving 10.9 dBi, 2 dBi more than the planar structure. In addition, the multilayer antenna shows larger bandwidth than the planar; 6.9 GHz compared with 4.42 GHz. The analysis conducted acknowledges the huge potential of these stacked structures for IoT applications, as an alternative to planar implementations.
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spelling pubmed-61631652018-10-10 Compact Multilayer Yagi-Uda Based Antenna for IoT/5G Sensors Ramos, Amélia Varum, Tiago Matos, João N. Sensors (Basel) Article To increase the capacity and performance of communication systems, the new generation of mobile communications (5G) will use frequency bands in the mmWave region, where new challenges arise. These challenges can be partially overcome by using higher gain antennas, Multiple-Input Multiple-Output (MIMO), or beamforming techniques. Yagi-Uda antennas combine high gain with low cost and reduced size, and might result in compact and efficient antennas to be used in Internet of Thins (IoT) sensors. The design of a compact multilayer Yagi for IoT sensors is presented, operating at 24 GHz, and a comparative analysis with a planar printed version is shown. The stacked prototype reveals an improvement of the antenna’s main properties, achieving 10.9 dBi, 2 dBi more than the planar structure. In addition, the multilayer antenna shows larger bandwidth than the planar; 6.9 GHz compared with 4.42 GHz. The analysis conducted acknowledges the huge potential of these stacked structures for IoT applications, as an alternative to planar implementations. MDPI 2018-09-02 /pmc/articles/PMC6163165/ /pubmed/30200544 http://dx.doi.org/10.3390/s18092914 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ramos, Amélia
Varum, Tiago
Matos, João N.
Compact Multilayer Yagi-Uda Based Antenna for IoT/5G Sensors
title Compact Multilayer Yagi-Uda Based Antenna for IoT/5G Sensors
title_full Compact Multilayer Yagi-Uda Based Antenna for IoT/5G Sensors
title_fullStr Compact Multilayer Yagi-Uda Based Antenna for IoT/5G Sensors
title_full_unstemmed Compact Multilayer Yagi-Uda Based Antenna for IoT/5G Sensors
title_short Compact Multilayer Yagi-Uda Based Antenna for IoT/5G Sensors
title_sort compact multilayer yagi-uda based antenna for iot/5g sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163165/
https://www.ncbi.nlm.nih.gov/pubmed/30200544
http://dx.doi.org/10.3390/s18092914
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