An Enriched -μ Model as Fading Candidate

Detalhes bibliográficos
Autor(a) principal: Ferreira, Johannes Theodorus
Data de Publicação: 2020
Outros Autores: Bekker, Andriëtte, Marques, Filipe, Laidlaw, M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/105267
Resumo: National Research Foundation, South Africa (SRUG190308422768 nr. 120839), the South African NRF SARChI Research Chair in Computational and Methodological Statistics (UID: 71199), the South African DST-NRF-MRC SARChI Research Chair in Biostatistics (Grant no. 114613), the Research Development Programme at UP 296/2019, and the project UIDB/00297/2020 at UNL.
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spelling An Enriched -μ Model as Fading CandidateMathematics(all)Engineering(all)National Research Foundation, South Africa (SRUG190308422768 nr. 120839), the South African NRF SARChI Research Chair in Computational and Methodological Statistics (UID: 71199), the South African DST-NRF-MRC SARChI Research Chair in Biostatistics (Grant no. 114613), the Research Development Programme at UP 296/2019, and the project UIDB/00297/2020 at UNL.This paper introduces an enriched -μ distribution which may act as fading model with its origins via the scale mixture construction. The distribution's characteristics are visited and its feasibility as a fading candidate in wireless communications systems is investigated. The analysis of the system reliability and some performance measures of wireless communications systems over this enriched -μ fading candidate are illustrated. Computable representations of the Laplace transform for this scale mixture construction are also provided. The derived expressions are explored via numerical investigations. Tractable results are computed in terms of the Meijer G-function. This unified scale mixture approach allows access to previously unconsidered underlying models that may yield improved fits to experimental data in practice.DM - Departamento de MatemáticaCMA - Centro de Matemática e AplicaçõesRUNFerreira, Johannes TheodorusBekker, AndriëtteMarques, FilipeLaidlaw, M.2020-10-07T23:08:35Z2020-04-252020-04-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/105267eng1024-123XPURE: 19256321https://doi.org/10.1155/2020/5879413info: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:RCAAP2024-03-11T04:50:33Zoai:run.unl.pt:10362/105267Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:40:25.562646Repositório 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 An Enriched -μ Model as Fading Candidate
title An Enriched -μ Model as Fading Candidate
spellingShingle An Enriched -μ Model as Fading Candidate
Ferreira, Johannes Theodorus
Mathematics(all)
Engineering(all)
title_short An Enriched -μ Model as Fading Candidate
title_full An Enriched -μ Model as Fading Candidate
title_fullStr An Enriched -μ Model as Fading Candidate
title_full_unstemmed An Enriched -μ Model as Fading Candidate
title_sort An Enriched -μ Model as Fading Candidate
author Ferreira, Johannes Theodorus
author_facet Ferreira, Johannes Theodorus
Bekker, Andriëtte
Marques, Filipe
Laidlaw, M.
author_role author
author2 Bekker, Andriëtte
Marques, Filipe
Laidlaw, M.
author2_role author
author
author
dc.contributor.none.fl_str_mv DM - Departamento de Matemática
CMA - Centro de Matemática e Aplicações
RUN
dc.contributor.author.fl_str_mv Ferreira, Johannes Theodorus
Bekker, Andriëtte
Marques, Filipe
Laidlaw, M.
dc.subject.por.fl_str_mv Mathematics(all)
Engineering(all)
topic Mathematics(all)
Engineering(all)
description National Research Foundation, South Africa (SRUG190308422768 nr. 120839), the South African NRF SARChI Research Chair in Computational and Methodological Statistics (UID: 71199), the South African DST-NRF-MRC SARChI Research Chair in Biostatistics (Grant no. 114613), the Research Development Programme at UP 296/2019, and the project UIDB/00297/2020 at UNL.
publishDate 2020
dc.date.none.fl_str_mv 2020-10-07T23:08:35Z
2020-04-25
2020-04-25T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
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url http://hdl.handle.net/10362/105267
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1024-123X
PURE: 19256321
https://doi.org/10.1155/2020/5879413
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