Optimization of mixed numerology profiles for 5G wireless communication scenarios

Bibliographic Details
Main Author: Correia, Noélia
Publication Date: 2021
Other Authors: Al-Tam, Faroq, Rodriguez, Jonathan
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.1/15198
Summary: 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.MDPISapientiaCorreia, 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/10400.1/15198eng1424-822010.3390/s21041494info: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:RCAAP2025-02-18T17:36:18Zoai:sapientia.ualg.pt:10400.1/15198Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T20:28:21.168326Repositórios 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 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
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format article
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url http://hdl.handle.net/10400.1/15198
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1424-8220
10.3390/s21041494
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