Addressing the real world problem of managing wireless communication systems using explainable ai-based models through correlation analysis

Descripción del Articulo

In a general parlance, wireless communication tends to be investigated based on the available methods that support enhancing the optimized data link, especially the software-based methods. AI is mainly used to create and design efficient communication network systems and variable node locations. The...

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Detalles Bibliográficos
Autores: Panduro Ramirez, Jeidy Gisell, Surya, S., Gupta, Sumeet, Mehbodniya, Abolfazl, Rao Kapula, Prabhakara, Alam, Tanweer, Kaliyaperumal, Karthikeyan
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Tecnológica del Perú
Repositorio:UTP-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.utp.edu.pe:20.500.12867/5809
Enlace del recurso:https://hdl.handle.net/20.500.12867/5809
http://doi.org/10.1155/2022/3390075
Nivel de acceso:acceso abierto
Materia:Wireless communication
Artificial intelligence
https://purl.org/pe-repo/ocde/ford#2.02.00
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dc.title.es_PE.fl_str_mv Addressing the real world problem of managing wireless communication systems using explainable ai-based models through correlation analysis
title Addressing the real world problem of managing wireless communication systems using explainable ai-based models through correlation analysis
spellingShingle Addressing the real world problem of managing wireless communication systems using explainable ai-based models through correlation analysis
Panduro Ramirez, Jeidy Gisell
Wireless communication
Artificial intelligence
https://purl.org/pe-repo/ocde/ford#2.02.00
title_short Addressing the real world problem of managing wireless communication systems using explainable ai-based models through correlation analysis
title_full Addressing the real world problem of managing wireless communication systems using explainable ai-based models through correlation analysis
title_fullStr Addressing the real world problem of managing wireless communication systems using explainable ai-based models through correlation analysis
title_full_unstemmed Addressing the real world problem of managing wireless communication systems using explainable ai-based models through correlation analysis
title_sort Addressing the real world problem of managing wireless communication systems using explainable ai-based models through correlation analysis
author Panduro Ramirez, Jeidy Gisell
author_facet Panduro Ramirez, Jeidy Gisell
Surya, S.
Gupta, Sumeet
Mehbodniya, Abolfazl
Rao Kapula, Prabhakara
Alam, Tanweer
Kaliyaperumal, Karthikeyan
author_role author
author2 Surya, S.
Gupta, Sumeet
Mehbodniya, Abolfazl
Rao Kapula, Prabhakara
Alam, Tanweer
Kaliyaperumal, Karthikeyan
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Panduro Ramirez, Jeidy Gisell
Surya, S.
Gupta, Sumeet
Mehbodniya, Abolfazl
Rao Kapula, Prabhakara
Alam, Tanweer
Kaliyaperumal, Karthikeyan
dc.subject.es_PE.fl_str_mv Wireless communication
Artificial intelligence
topic Wireless communication
Artificial intelligence
https://purl.org/pe-repo/ocde/ford#2.02.00
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.02.00
description In a general parlance, wireless communication tends to be investigated based on the available methods that support enhancing the optimized data link, especially the software-based methods. AI is mainly used to create and design efficient communication network systems and variable node locations. The major factors impacting wireless communications in the current context are enhanced channel frequency, efficiency of using the bandwidth, and modulation type. The software-defined ratio enables collecting the information and analyzing the overall signal-related components and processing them in real-time situations. This will support in detecting unnecessary information and identifying latency at each stage of communication. The study is intended to measure the influence of critical factors in enhancing the overall management of wireless communication systems through the application of AI technologies. The researchers used the questionnaire method in order to collect the data from the respondents and enable them to analyze the data using the SPSS data package.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-07-27T16:56:36Z
dc.date.available.none.fl_str_mv 2022-07-27T16:56:36Z
dc.date.issued.fl_str_mv 2022
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
dc.type.version.es_PE.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.issn.none.fl_str_mv 1024-123X
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12867/5809
dc.identifier.journal.es_PE.fl_str_mv Mathematical Problems in Engineering
dc.identifier.doi.none.fl_str_mv http://doi.org/10.1155/2022/3390075
identifier_str_mv 1024-123X
Mathematical Problems in Engineering
url https://hdl.handle.net/20.500.12867/5809
http://doi.org/10.1155/2022/3390075
dc.language.iso.es_PE.fl_str_mv spa
language spa
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.es_PE.fl_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Hindawi
dc.publisher.country.es_PE.fl_str_mv US
dc.source.es_PE.fl_str_mv Repositorio Institucional - UTP
Universidad Tecnológica del Perú
dc.source.none.fl_str_mv reponame:UTP-Institucional
instname:Universidad Tecnológica del Perú
instacron:UTP
instname_str Universidad Tecnológica del Perú
instacron_str UTP
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reponame_str UTP-Institucional
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spelling Panduro Ramirez, Jeidy GisellSurya, S.Gupta, SumeetMehbodniya, AbolfazlRao Kapula, PrabhakaraAlam, TanweerKaliyaperumal, Karthikeyan2022-07-27T16:56:36Z2022-07-27T16:56:36Z20221024-123Xhttps://hdl.handle.net/20.500.12867/5809Mathematical Problems in Engineeringhttp://doi.org/10.1155/2022/3390075In a general parlance, wireless communication tends to be investigated based on the available methods that support enhancing the optimized data link, especially the software-based methods. AI is mainly used to create and design efficient communication network systems and variable node locations. The major factors impacting wireless communications in the current context are enhanced channel frequency, efficiency of using the bandwidth, and modulation type. The software-defined ratio enables collecting the information and analyzing the overall signal-related components and processing them in real-time situations. This will support in detecting unnecessary information and identifying latency at each stage of communication. The study is intended to measure the influence of critical factors in enhancing the overall management of wireless communication systems through the application of AI technologies. 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Addressing the real world problem of managing wireless communication systems using explainable ai-based models through correlation analysis
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