Generative adversarial networks for generating synthetic features for Wi-Fi signal quality
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/128519 |
Resumo: | Castelli, M., Manzoni, L., Espindola, T., Popovič, A., & De Lorenzo, A. (2021). Generative adversarial networks for generating synthetic features for Wi-Fi signal quality. PLoS ONE, 16(11), 1-30. [e0260308]. https://doi.org/10.1371/journal.pone.0260308 |
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Generative adversarial networks for generating synthetic features for Wi-Fi signal qualityGeneralCastelli, M., Manzoni, L., Espindola, T., Popovič, A., & De Lorenzo, A. (2021). Generative adversarial networks for generating synthetic features for Wi-Fi signal quality. PLoS ONE, 16(11), 1-30. [e0260308]. https://doi.org/10.1371/journal.pone.0260308Wireless networks are among the fundamental technologies used to connect people. Considering the constant advancements in the field, telecommunication operators must guarantee a high-quality service to keep their customer portfolio. To ensure this high-quality service, it is common to establish partnerships with specialized technology companies that deliver software services in order to monitor the networks and identify faults and respective solutions. A common barrier faced by these specialized companies is the lack of data to develop and test their products. This paper investigates the use of generative adversarial networks (GANs), which are state-of-the-art generative models, for generating synthetic telecommunication data related to Wi-Fi signal quality. We developed, trained, and compared two of the most used GAN architectures: the Vanilla GAN and the Wasserstein GAN (WGAN). Both models presented satisfactory results and were able to generate synthetic data similar to the real ones. In particular, the distribution of the synthetic data overlaps the distribution of the real data for all of the considered features. Moreover, the considered generative models can reproduce the same associations observed for the synthetic features. We chose the WGAN as the final model, but both models are suitable for addressing the problem at hand.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNCastelli, MauroManzoni, LucaEspindola, TatianePopovič, AlešDe Lorenzo, Andrea2021-11-30T23:54:33Z2021-11-232021-11-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article30application/pdfhttp://hdl.handle.net/10362/128519eng1932-6203PURE: 35127452https://doi.org/10.1371/journal.pone.0260308info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:08:05Zoai:run.unl.pt:10362/128519Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:46:19.562505Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Generative adversarial networks for generating synthetic features for Wi-Fi signal quality |
title |
Generative adversarial networks for generating synthetic features for Wi-Fi signal quality |
spellingShingle |
Generative adversarial networks for generating synthetic features for Wi-Fi signal quality Castelli, Mauro General |
title_short |
Generative adversarial networks for generating synthetic features for Wi-Fi signal quality |
title_full |
Generative adversarial networks for generating synthetic features for Wi-Fi signal quality |
title_fullStr |
Generative adversarial networks for generating synthetic features for Wi-Fi signal quality |
title_full_unstemmed |
Generative adversarial networks for generating synthetic features for Wi-Fi signal quality |
title_sort |
Generative adversarial networks for generating synthetic features for Wi-Fi signal quality |
author |
Castelli, Mauro |
author_facet |
Castelli, Mauro Manzoni, Luca Espindola, Tatiane Popovič, Aleš De Lorenzo, Andrea |
author_role |
author |
author2 |
Manzoni, Luca Espindola, Tatiane Popovič, Aleš De Lorenzo, Andrea |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School RUN |
dc.contributor.author.fl_str_mv |
Castelli, Mauro Manzoni, Luca Espindola, Tatiane Popovič, Aleš De Lorenzo, Andrea |
dc.subject.por.fl_str_mv |
General |
topic |
General |
description |
Castelli, M., Manzoni, L., Espindola, T., Popovič, A., & De Lorenzo, A. (2021). Generative adversarial networks for generating synthetic features for Wi-Fi signal quality. PLoS ONE, 16(11), 1-30. [e0260308]. https://doi.org/10.1371/journal.pone.0260308 |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-30T23:54:33Z 2021-11-23 2021-11-23T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/128519 |
url |
http://hdl.handle.net/10362/128519 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1932-6203 PURE: 35127452 https://doi.org/10.1371/journal.pone.0260308 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
30 application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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