Estimation of 5G Core and RAN End-to-End Delay through Gaussian Mixture Models

Detalhes bibliográficos
Autor(a) principal: Fadhil, Diyar
Data de Publicação: 2022
Outros Autores: Oliveira, Rodolfo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/150558
Resumo: Publisher Copyright: © 2022 by the authors.
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spelling Estimation of 5G Core and RAN End-to-End Delay through Gaussian Mixture Modelscellular networksend-to-end delayGaussian mixture modelquality of serviceHuman-Computer InteractionComputer Networks and CommunicationsPublisher Copyright: © 2022 by the authors.Network analytics provide a comprehensive picture of the network’s Quality of Service (QoS), including the End-to-End (E2E) delay. In this paper, we characterize the Core and the Radio Access Network (RAN) E2E delay of 5G networks with the Standalone (SA) and Non-Standalone (NSA) topologies when a single known Probability Density Function (PDF) is not suitable to model its distribution. To this end, multiple PDFs, denominated as components, are combined in a Gaussian Mixture Model (GMM) to represent the distribution of the E2E delay. The accuracy and computation time of the GMM is evaluated for a different number of components and a number of samples. The results presented in the paper are based on a dataset of E2E delay values sampled from both SA and NSA 5G networks. Finally, we show that the GMM can be adopted to estimate a high diversity of E2E delay patterns found in 5G networks and its computation time can be adequate for a large range of applications.DEE - Departamento de Engenharia Electrotécnica e de ComputadoresRUNFadhil, DiyarOliveira, Rodolfo2023-03-14T22:43:08Z2022-12-122022-12-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article21application/pdfhttp://hdl.handle.net/10362/150558eng2073-431XPURE: 55635820https://doi.org/10.3390/computers11120184info: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:RCAAP2024-03-11T05:32:34Zoai:run.unl.pt:10362/150558Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:10.846750Repositório 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 Estimation of 5G Core and RAN End-to-End Delay through Gaussian Mixture Models
title Estimation of 5G Core and RAN End-to-End Delay through Gaussian Mixture Models
spellingShingle Estimation of 5G Core and RAN End-to-End Delay through Gaussian Mixture Models
Fadhil, Diyar
cellular networks
end-to-end delay
Gaussian mixture model
quality of service
Human-Computer Interaction
Computer Networks and Communications
title_short Estimation of 5G Core and RAN End-to-End Delay through Gaussian Mixture Models
title_full Estimation of 5G Core and RAN End-to-End Delay through Gaussian Mixture Models
title_fullStr Estimation of 5G Core and RAN End-to-End Delay through Gaussian Mixture Models
title_full_unstemmed Estimation of 5G Core and RAN End-to-End Delay through Gaussian Mixture Models
title_sort Estimation of 5G Core and RAN End-to-End Delay through Gaussian Mixture Models
author Fadhil, Diyar
author_facet Fadhil, Diyar
Oliveira, Rodolfo
author_role author
author2 Oliveira, Rodolfo
author2_role author
dc.contributor.none.fl_str_mv DEE - Departamento de Engenharia Electrotécnica e de Computadores
RUN
dc.contributor.author.fl_str_mv Fadhil, Diyar
Oliveira, Rodolfo
dc.subject.por.fl_str_mv cellular networks
end-to-end delay
Gaussian mixture model
quality of service
Human-Computer Interaction
Computer Networks and Communications
topic cellular networks
end-to-end delay
Gaussian mixture model
quality of service
Human-Computer Interaction
Computer Networks and Communications
description Publisher Copyright: © 2022 by the authors.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-12
2022-12-12T00:00:00Z
2023-03-14T22:43:08Z
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/10362/150558
url http://hdl.handle.net/10362/150558
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2073-431X
PURE: 55635820
https://doi.org/10.3390/computers11120184
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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