Optimization of mixed numerology profiles for 5G wireless communication scenarios

Detalhes bibliográficos
Autor(a) principal: Correia, Noélia
Data de Publicação: 2021
Outros Autores: Al-Tam, Faroq, Rodriguez, Jonathan
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/15198
Resumo: The management of 5G resources is a demanding task, requiring proper planning of operating numerology indexes and spectrum allocation according to current traffic needs. In addition, any reconfigurations to adapt to the current traffic pattern should be minimized to reduce signaling overhead. In this article, the pre-planning of numerology profiles is proposed to address this problem, and a mathematical optimization model for their planning is developed. The idea is to explore requirements and impairments usually present in a given wireless communication scenario to build numerology profiles and then adopt one of the profiles according to the current users/traffic pattern. The model allows the optimization of mixed numerologies in future 5G systems under any wireless communication scenario, with specific service requirements and impairments, and under any traffic scenario. Results show that, depending on the granularity of the profiles, the proposed optimization model is able to provide satisfaction levels of 60–100%, whereas a non-optimized approach provides 40–65%, while minimizing the total number of numerology indexes in operation.
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spelling Optimization of mixed numerology profiles for 5G wireless communication scenarios5th-Generation mobile networksRadio resource managementMixed numerologyThe management of 5G resources is a demanding task, requiring proper planning of operating numerology indexes and spectrum allocation according to current traffic needs. In addition, any reconfigurations to adapt to the current traffic pattern should be minimized to reduce signaling overhead. In this article, the pre-planning of numerology profiles is proposed to address this problem, and a mathematical optimization model for their planning is developed. The idea is to explore requirements and impairments usually present in a given wireless communication scenario to build numerology profiles and then adopt one of the profiles according to the current users/traffic pattern. The model allows the optimization of mixed numerologies in future 5G systems under any wireless communication scenario, with specific service requirements and impairments, and under any traffic scenario. Results show that, depending on the granularity of the profiles, the proposed optimization model is able to provide satisfaction levels of 60–100%, whereas a non-optimized approach provides 40–65%, while minimizing the total number of numerology indexes in operation.Competitiveness and Internationalization Operational Programme (COMPETE 2020), the Regional Operational Program of the Algarve (2020), and Fundação para a Ciência e Tecnologia; i-Five: Extensão do acesso de espectro dinâmico para rádio 5G, POCI-01-0145-FEDER-030500. This work is also supported by Fundação para a ciência e Tecnologia within CEOT (Center for Electronic, Optoelectronic and Telecommunications) and the UID/MULTI/00631/2020 projectMDPISapientiaCorreia, NoéliaAl-Tam, FaroqRodriguez, Jonathan2021-03-08T23:08:24Z2021-02-212021-02-26T14:42:00Z2021-02-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/15198engSensors 21 (4): 1494 (2021)1424-822010.3390/s21041494info: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:RCAAP2023-07-24T10:27:33Zoai:sapientia.ualg.pt:10400.1/15198Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:06:02.971690Repositório 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 Optimization of mixed numerology profiles for 5G wireless communication scenarios
title Optimization of mixed numerology profiles for 5G wireless communication scenarios
spellingShingle Optimization of mixed numerology profiles for 5G wireless communication scenarios
Correia, Noélia
5th-Generation mobile networks
Radio resource management
Mixed numerology
title_short Optimization of mixed numerology profiles for 5G wireless communication scenarios
title_full Optimization of mixed numerology profiles for 5G wireless communication scenarios
title_fullStr Optimization of mixed numerology profiles for 5G wireless communication scenarios
title_full_unstemmed Optimization of mixed numerology profiles for 5G wireless communication scenarios
title_sort Optimization of mixed numerology profiles for 5G wireless communication scenarios
author Correia, Noélia
author_facet Correia, Noélia
Al-Tam, Faroq
Rodriguez, Jonathan
author_role author
author2 Al-Tam, Faroq
Rodriguez, Jonathan
author2_role author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Correia, Noélia
Al-Tam, Faroq
Rodriguez, Jonathan
dc.subject.por.fl_str_mv 5th-Generation mobile networks
Radio resource management
Mixed numerology
topic 5th-Generation mobile networks
Radio resource management
Mixed numerology
description The management of 5G resources is a demanding task, requiring proper planning of operating numerology indexes and spectrum allocation according to current traffic needs. In addition, any reconfigurations to adapt to the current traffic pattern should be minimized to reduce signaling overhead. In this article, the pre-planning of numerology profiles is proposed to address this problem, and a mathematical optimization model for their planning is developed. The idea is to explore requirements and impairments usually present in a given wireless communication scenario to build numerology profiles and then adopt one of the profiles according to the current users/traffic pattern. The model allows the optimization of mixed numerologies in future 5G systems under any wireless communication scenario, with specific service requirements and impairments, and under any traffic scenario. Results show that, depending on the granularity of the profiles, the proposed optimization model is able to provide satisfaction levels of 60–100%, whereas a non-optimized approach provides 40–65%, while minimizing the total number of numerology indexes in operation.
publishDate 2021
dc.date.none.fl_str_mv 2021-03-08T23:08:24Z
2021-02-21
2021-02-26T14:42:00Z
2021-02-21T00:00:00Z
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/10400.1/15198
url http://hdl.handle.net/10400.1/15198
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sensors 21 (4): 1494 (2021)
1424-8220
10.3390/s21041494
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv MDPI
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