Weighted ABG: A General Framework for optimal combination of ABG Path-Loss Propagation Models

In this paper we propose a novel path-loss model, the Weighted ABG (WABG), which suitably allows integrating or combine different available datasets, or previously proposed 5G propagation path-loss models from the state-of-the-art. Our proposal is therefore a new ABG-based approach which integrates...

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Autores: Casillas Pérez, David|||0000-0002-5721-1242, Camacho Gómez, Carlos, Jiménez Fernández, Silvia|||0000-0002-2065-1754, Portilla Figueras, José Antonio|||0000-0001-6569-6780, Salcedo Sanz, Sancho|||0000-0002-4048-1676
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/67397
Acceso en línea:http://hdl.handle.net/10017/67397
https://dx.doi.org/10.1109/ACCESS.2020.2999206
Access Level:acceso abierto
Palabra clave:5G
path-loss
MmWave
ABG propagation models
Models combination
Telecomunicaciones
Telecommunication
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repository_id_str
spelling Weighted ABG: A General Framework for optimal combination of ABG Path-Loss Propagation ModelsCasillas Pérez, David|||0000-0002-5721-1242Camacho Gómez, CarlosJiménez Fernández, Silvia|||0000-0002-2065-1754Portilla Figueras, José Antonio|||0000-0001-6569-6780Salcedo Sanz, Sancho|||0000-0002-4048-16765Gpath-lossMmWaveABG propagation modelsModels combinationTelecomunicacionesTelecommunicationIn this paper we propose a novel path-loss model, the Weighted ABG (WABG), which suitably allows integrating or combine different available datasets, or previously proposed 5G propagation path-loss models from the state-of-the-art. Our proposal is therefore a new ABG-based approach which integrates other existing models, leading to the best possible approximation in least-square sense, considering different weighting policies. We evaluate the performance of the WABG in several 5G scenarios, and we carry out a complete comparison of the proposed method against several recently published ABG models, showing that the WABG obtains the best results in terms of model?s accuracyCátedra ISDEFE-UAH en TIC e Inteligencia Artificial20202020-06-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10017/67397https://dx.doi.org/10.1109/ACCESS.2020.2999206reponame:e_Buah Biblioteca Digital Universidad de Alcaláinstname:Universidad de Alcalá (UAH)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ebuah.uah.es:10017/673972026-06-18T11:13:07Z
dc.title.none.fl_str_mv Weighted ABG: A General Framework for optimal combination of ABG Path-Loss Propagation Models
title Weighted ABG: A General Framework for optimal combination of ABG Path-Loss Propagation Models
spellingShingle Weighted ABG: A General Framework for optimal combination of ABG Path-Loss Propagation Models
Casillas Pérez, David|||0000-0002-5721-1242
5G
path-loss
MmWave
ABG propagation models
Models combination
Telecomunicaciones
Telecommunication
title_short Weighted ABG: A General Framework for optimal combination of ABG Path-Loss Propagation Models
title_full Weighted ABG: A General Framework for optimal combination of ABG Path-Loss Propagation Models
title_fullStr Weighted ABG: A General Framework for optimal combination of ABG Path-Loss Propagation Models
title_full_unstemmed Weighted ABG: A General Framework for optimal combination of ABG Path-Loss Propagation Models
title_sort Weighted ABG: A General Framework for optimal combination of ABG Path-Loss Propagation Models
dc.creator.none.fl_str_mv Casillas Pérez, David|||0000-0002-5721-1242
Camacho Gómez, Carlos
Jiménez Fernández, Silvia|||0000-0002-2065-1754
Portilla Figueras, José Antonio|||0000-0001-6569-6780
Salcedo Sanz, Sancho|||0000-0002-4048-1676
author Casillas Pérez, David|||0000-0002-5721-1242
author_facet Casillas Pérez, David|||0000-0002-5721-1242
Camacho Gómez, Carlos
Jiménez Fernández, Silvia|||0000-0002-2065-1754
Portilla Figueras, José Antonio|||0000-0001-6569-6780
Salcedo Sanz, Sancho|||0000-0002-4048-1676
author_role author
author2 Camacho Gómez, Carlos
Jiménez Fernández, Silvia|||0000-0002-2065-1754
Portilla Figueras, José Antonio|||0000-0001-6569-6780
Salcedo Sanz, Sancho|||0000-0002-4048-1676
author2_role author
author
author
author
dc.subject.none.fl_str_mv 5G
path-loss
MmWave
ABG propagation models
Models combination
Telecomunicaciones
Telecommunication
topic 5G
path-loss
MmWave
ABG propagation models
Models combination
Telecomunicaciones
Telecommunication
description In this paper we propose a novel path-loss model, the Weighted ABG (WABG), which suitably allows integrating or combine different available datasets, or previously proposed 5G propagation path-loss models from the state-of-the-art. Our proposal is therefore a new ABG-based approach which integrates other existing models, leading to the best possible approximation in least-square sense, considering different weighting policies. We evaluate the performance of the WABG in several 5G scenarios, and we carry out a complete comparison of the proposed method against several recently published ABG models, showing that the WABG obtains the best results in terms of model?s accuracy
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-06-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10017/67397
https://dx.doi.org/10.1109/ACCESS.2020.2999206
url http://hdl.handle.net/10017/67397
https://dx.doi.org/10.1109/ACCESS.2020.2999206
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-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/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-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:e_Buah Biblioteca Digital Universidad de Alcalá
instname:Universidad de Alcalá (UAH)
instname_str Universidad de Alcalá (UAH)
reponame_str e_Buah Biblioteca Digital Universidad de Alcalá
collection e_Buah Biblioteca Digital Universidad de Alcalá
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repository.mail.fl_str_mv
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