Near field models of spatially-fed planar arrays and their application to multi-frequency direct layout optimization for mm-wave 5G new radio indoor network coverage

Two near field models for the analysis of spatially fed planar array antennas are presented, compared and applied to a multi-frequency wideband direct layout optimization for mm-Wave 5G new radio (NR) indoor network coverage. One model is based on the direct application of the radiation equations di...

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Autor: Rodríguez Prado, Daniel|||0000-0002-2774-7572
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad de Oviedo (UNIOVI)
Repositorio:RUO. Repositorio Institucional de la Universidad de Oviedo
Idioma:inglés
OAI Identifier:oai:digibuo.uniovi.es:10651/66331
Acceso en línea:http://hdl.handle.net/10651/66331
https://dx.doi.org/10.3390/s22228925
Access Level:acceso abierto
Palabra clave:Spatially fed array
Reflectarray antenna
Transmitarray
Near field
Radiation equations
Radiated field synthesis
Optimization
Electromagnetic field shaping
Generalized intersection approach
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spelling Near field models of spatially-fed planar arrays and their application to multi-frequency direct layout optimization for mm-wave 5G new radio indoor network coverageRodríguez Prado, Daniel|||0000-0002-2774-7572Spatially fed arrayReflectarray antennaTransmitarrayNear fieldRadiation equationsRadiated field synthesisOptimizationElectromagnetic field shapingGeneralized intersection approachTwo near field models for the analysis of spatially fed planar array antennas are presented, compared and applied to a multi-frequency wideband direct layout optimization for mm-Wave 5G new radio (NR) indoor network coverage. One model is based on the direct application of the radiation equations directly derived from the A and F vector potentials. The second model is based on the superposition of far field contributions of all array elements, which are modelled as rectangular apertures with constant field. Despite the different assumptions made to develop both models, the degree of agreement between them in the computation of the radiated near field is very high. The relative error between the models is equal or lower than 3.2% at a plane 13λ from the array, and it decreases as the near field is computed further away from the array. Then, the faster model is employed in a general direct layout optimization procedure to shape the electromagnetic near field for application in an indoor femtocell to provide coverage with constant power in a private office. Results show that a magnitude ripple better than 1.5 dB can be achieved in an enlarged coverage area covering the whole n257 band of the 5G NR, corresponding to a 10.7% relative bandwidth.This work was supported in part by the Ministerio de Ciencia, Innovación y Universidades under project IJC2018-035696-I; by the Ministerio de Ciencia e Innovación and the Agencia Estatal de Investigación within project ENHANCE-5G (PID2020-114172RB-C21/AEI/10.13039/501100011033); by Gobierno del Principado de Asturias under project AYUD/2021/51706.MDPI20222022-11-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttp://hdl.handle.net/10651/66331https://dx.doi.org/10.3390/s22228925reponame:RUO. Repositorio Institucional de la Universidad de Oviedoinstname:Universidad de Oviedo (UNIOVI)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:digibuo.uniovi.es:10651/663312026-06-07T06:38:51Z
dc.title.none.fl_str_mv Near field models of spatially-fed planar arrays and their application to multi-frequency direct layout optimization for mm-wave 5G new radio indoor network coverage
title Near field models of spatially-fed planar arrays and their application to multi-frequency direct layout optimization for mm-wave 5G new radio indoor network coverage
spellingShingle Near field models of spatially-fed planar arrays and their application to multi-frequency direct layout optimization for mm-wave 5G new radio indoor network coverage
Rodríguez Prado, Daniel|||0000-0002-2774-7572
Spatially fed array
Reflectarray antenna
Transmitarray
Near field
Radiation equations
Radiated field synthesis
Optimization
Electromagnetic field shaping
Generalized intersection approach
title_short Near field models of spatially-fed planar arrays and their application to multi-frequency direct layout optimization for mm-wave 5G new radio indoor network coverage
title_full Near field models of spatially-fed planar arrays and their application to multi-frequency direct layout optimization for mm-wave 5G new radio indoor network coverage
title_fullStr Near field models of spatially-fed planar arrays and their application to multi-frequency direct layout optimization for mm-wave 5G new radio indoor network coverage
title_full_unstemmed Near field models of spatially-fed planar arrays and their application to multi-frequency direct layout optimization for mm-wave 5G new radio indoor network coverage
title_sort Near field models of spatially-fed planar arrays and their application to multi-frequency direct layout optimization for mm-wave 5G new radio indoor network coverage
dc.creator.none.fl_str_mv Rodríguez Prado, Daniel|||0000-0002-2774-7572
author Rodríguez Prado, Daniel|||0000-0002-2774-7572
author_facet Rodríguez Prado, Daniel|||0000-0002-2774-7572
author_role author
dc.subject.none.fl_str_mv Spatially fed array
Reflectarray antenna
Transmitarray
Near field
Radiation equations
Radiated field synthesis
Optimization
Electromagnetic field shaping
Generalized intersection approach
topic Spatially fed array
Reflectarray antenna
Transmitarray
Near field
Radiation equations
Radiated field synthesis
Optimization
Electromagnetic field shaping
Generalized intersection approach
description Two near field models for the analysis of spatially fed planar array antennas are presented, compared and applied to a multi-frequency wideband direct layout optimization for mm-Wave 5G new radio (NR) indoor network coverage. One model is based on the direct application of the radiation equations directly derived from the A and F vector potentials. The second model is based on the superposition of far field contributions of all array elements, which are modelled as rectangular apertures with constant field. Despite the different assumptions made to develop both models, the degree of agreement between them in the computation of the radiated near field is very high. The relative error between the models is equal or lower than 3.2% at a plane 13λ from the array, and it decreases as the near field is computed further away from the array. Then, the faster model is employed in a general direct layout optimization procedure to shape the electromagnetic near field for application in an indoor femtocell to provide coverage with constant power in a private office. Results show that a magnitude ripple better than 1.5 dB can be achieved in an enlarged coverage area covering the whole n257 band of the 5G NR, corresponding to a 10.7% relative bandwidth.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-11-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10651/66331
https://dx.doi.org/10.3390/s22228925
url http://hdl.handle.net/10651/66331
https://dx.doi.org/10.3390/s22228925
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:RUO. Repositorio Institucional de la Universidad de Oviedo
instname:Universidad de Oviedo (UNIOVI)
instname_str Universidad de Oviedo (UNIOVI)
reponame_str RUO. Repositorio Institucional de la Universidad de Oviedo
collection RUO. Repositorio Institucional de la Universidad de Oviedo
repository.name.fl_str_mv
repository.mail.fl_str_mv
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