An Enriched -μ Model as Fading Candidate

Bibliographic Details
Main Author: Ferreira, Johannes Theodorus
Publication Date: 2020
Other Authors: Bekker, Andriëtte, Marques, Filipe, Laidlaw, M.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/105267
Summary: 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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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:47:58Zoai:run.unl.pt:10362/105267Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:19:02.061214Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/105267
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
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833596609055686656

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