Um Algoritmo de CAC com Reserva Dinâmica de Recursos e Preempção para Redes LTE

Detalhes bibliográficos
Autor(a) principal: Camargos, Gustavo Lopes
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da UFU
Texto Completo: https://repositorio.ufu.br/handle/123456789/29429
http://doi.org/10.14393/ufu.di.2020.3906
Resumo: Long Term Evolution (LTE) technology was devised by the 3rd Generation Partnership Project (3GPP) to provide its users with higher data transfer rates and a more satisfying quality of experience. The guarantee of quality of service (QoS) to users has become an important part of the development of LTE technology, as it is essential for the availability of applications such as voice and video, which are increasingly in demand. In LTE networks, QoS is guaranteed from Radio Resource Management (RRM), through algorithms that lead how finite network resources are shared among all users. Among the RRM algorithms, CAC - Call Admission Control is one of the most relevant: it takes the decision to admit or reject a connection, based on the type of the connection, your requirements of QoS and the network occupancy rate. Since it is impractical to admit all connection requests, it aims to assure that radio resources are used optimally to meet the QoS requirements of the admitted connections, thus expecting the user to have a satisfactory quality of experience. Because the LTE standard does not specify mechanisms for connection admissions, it is proposed in this work a call admission control algorithm (CAC), capable of attending the main classes of services defined by the standard. The strategy of the CAC algorithm presented in this work prioritizes GBR (Guaranteed Bit Rate) connections and handoff connections (calls that are already in progress) through the dynamic adaptation of reserved sections of the bandwidth and preemption of non-GBR connections, which are more tolerant to the reduction of data rate. The evaluation of the efficiency of the proposed CAC algorithm was done through modeling and simulation in a typically urban scenario. Their results were compared with the results of other CAC algorithms found in the literature and quite popular, which were also modeled in the same scenario. Simulation results show that the functions implemented in the algorithm were able to present a considerable reduction in the rate of connection drops and increase in the number of admitted connections.
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spelling Um Algoritmo de CAC com Reserva Dinâmica de Recursos e Preempção para Redes LTEA CAC Algorithm with Dynamic Resource Reservation and Preemption for LTE Networks3GPP LTEQoSControle de Admissão de ChamadasCACChamadas em handoffPreempçãoCall Admission ControlHandoff callsPreemptionCNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::TELECOMUNICACOES::SISTEMAS DE TELECOMUNICACOESLong Term Evolution (LTE) technology was devised by the 3rd Generation Partnership Project (3GPP) to provide its users with higher data transfer rates and a more satisfying quality of experience. The guarantee of quality of service (QoS) to users has become an important part of the development of LTE technology, as it is essential for the availability of applications such as voice and video, which are increasingly in demand. In LTE networks, QoS is guaranteed from Radio Resource Management (RRM), through algorithms that lead how finite network resources are shared among all users. Among the RRM algorithms, CAC - Call Admission Control is one of the most relevant: it takes the decision to admit or reject a connection, based on the type of the connection, your requirements of QoS and the network occupancy rate. Since it is impractical to admit all connection requests, it aims to assure that radio resources are used optimally to meet the QoS requirements of the admitted connections, thus expecting the user to have a satisfactory quality of experience. Because the LTE standard does not specify mechanisms for connection admissions, it is proposed in this work a call admission control algorithm (CAC), capable of attending the main classes of services defined by the standard. The strategy of the CAC algorithm presented in this work prioritizes GBR (Guaranteed Bit Rate) connections and handoff connections (calls that are already in progress) through the dynamic adaptation of reserved sections of the bandwidth and preemption of non-GBR connections, which are more tolerant to the reduction of data rate. The evaluation of the efficiency of the proposed CAC algorithm was done through modeling and simulation in a typically urban scenario. Their results were compared with the results of other CAC algorithms found in the literature and quite popular, which were also modeled in the same scenario. Simulation results show that the functions implemented in the algorithm were able to present a considerable reduction in the rate of connection drops and increase in the number of admitted connections.CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorDissertação (Mestrado)A tecnologia Long Term Evolution (LTE) foi idealizada pelo 3rd Generation Partnership Project (3GPP) com o intuito de proporcionar aos seus usuários maiores taxas de transferência de dados e uma qualidade de experiência mais satisfatória. A garantia de qualidade de serviço (QoS) aos usuários se tornou parte importante no desenvolvimento da tecnologia LTE, já que é essencial para a disponibilidade de aplicações, tais como voz e vídeo, cuja demanda é cada vez maior. Em redes LTE, a QoS é garantida a partir do Gerenciamento de Recursos de Rádio (RRM), através de algoritmos que regem a maneira pela qual os recursos finitos da rede são compartilhados entre todos os usuários. Dentre os algoritmos RRM, o controle de admissão de chamadas (CAC) é um dos mais relevantes, pois ele toma a decisão de admitir ou rejeitar uma conexão, levando em consideração a natureza da conexão, seus requisitos de QoS e a taxa de ocupação da rede. Uma vez que é impraticável a admissão de toda a demanda das conexões, seu objetivo é garantir que os recursos de rádio sejam utilizados de maneira otimizada, de forma a suprir os requisitos de QoS das conexões admitidas, esperando assim que o usuário tenha uma qualidade de experiência (QoE) satisfatória. Pelo fato do padrão LTE não especificar mecanismos para admissão de conexões, propõe-se neste trabalho um algoritmo de CAC, capaz de atender as principais classes de serviços definidas pelo padrão. A estratégia do algoritmo de CAC apresentada neste trabalho prioriza conexões GBR (Guaranteed Bit Rate) e conexões em handoff (chamadas que já estão em andamento) através da adaptação dinâmica de seções reservadas da largura de banda e preempção de conexões non-GBR, que são mais tolerantes à redução de taxa de dados. A avaliação da eficiência do algoritmo de CAC proposto foi feita através de modelagem e simulação em um cenário tipicamente urbano. Seus resultados foram comparados com os resultados de outros algoritmos de CAC encontrados na literatura e bastante populares, que também foram modelados no mesmo cenário. Os resultados das simulações mostram que as funções implementadas no algoritmo foram capazes de apresentar uma redução considerável da taxa de perdas de conexões e aumento no número de conexões admitidas.Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Engenharia ElétricaGuardieiro, Paulo RobertoMata, Saulo Henrique daSilva, Ederson Rosa daCamargos, Gustavo Lopes2020-06-18T21:40:14Z2020-06-18T21:40:14Z2019-12-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfCAMARGOS, Gustavo Lopes. Um Algoritmo de CAC com Reserva Dinâmica de Recursos e Preempção para Redes LTE. 115 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Federal de Uberlândia. Uberlândia, 2020. DOI http://doi.org/10.14393/ufu.di.2020.3906https://repositorio.ufu.br/handle/123456789/29429http://doi.org/10.14393/ufu.di.2020.3906porhttp://creativecommons.org/licenses/by-nc-nd/3.0/us/info:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFUinstname:Universidade Federal de Uberlândia (UFU)instacron:UFU2020-06-19T06:18:00Zoai:repositorio.ufu.br:123456789/29429Repositório InstitucionalONGhttp://repositorio.ufu.br/oai/requestdiinf@dirbi.ufu.bropendoar:2020-06-19T06:18Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Um Algoritmo de CAC com Reserva Dinâmica de Recursos e Preempção para Redes LTE
A CAC Algorithm with Dynamic Resource Reservation and Preemption for LTE Networks
title Um Algoritmo de CAC com Reserva Dinâmica de Recursos e Preempção para Redes LTE
spellingShingle Um Algoritmo de CAC com Reserva Dinâmica de Recursos e Preempção para Redes LTE
Camargos, Gustavo Lopes
3GPP LTE
QoS
Controle de Admissão de Chamadas
CAC
Chamadas em handoff
Preempção
Call Admission Control
Handoff calls
Preemption
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::TELECOMUNICACOES::SISTEMAS DE TELECOMUNICACOES
title_short Um Algoritmo de CAC com Reserva Dinâmica de Recursos e Preempção para Redes LTE
title_full Um Algoritmo de CAC com Reserva Dinâmica de Recursos e Preempção para Redes LTE
title_fullStr Um Algoritmo de CAC com Reserva Dinâmica de Recursos e Preempção para Redes LTE
title_full_unstemmed Um Algoritmo de CAC com Reserva Dinâmica de Recursos e Preempção para Redes LTE
title_sort Um Algoritmo de CAC com Reserva Dinâmica de Recursos e Preempção para Redes LTE
author Camargos, Gustavo Lopes
author_facet Camargos, Gustavo Lopes
author_role author
dc.contributor.none.fl_str_mv Guardieiro, Paulo Roberto
Mata, Saulo Henrique da
Silva, Ederson Rosa da
dc.contributor.author.fl_str_mv Camargos, Gustavo Lopes
dc.subject.por.fl_str_mv 3GPP LTE
QoS
Controle de Admissão de Chamadas
CAC
Chamadas em handoff
Preempção
Call Admission Control
Handoff calls
Preemption
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::TELECOMUNICACOES::SISTEMAS DE TELECOMUNICACOES
topic 3GPP LTE
QoS
Controle de Admissão de Chamadas
CAC
Chamadas em handoff
Preempção
Call Admission Control
Handoff calls
Preemption
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::TELECOMUNICACOES::SISTEMAS DE TELECOMUNICACOES
description Long Term Evolution (LTE) technology was devised by the 3rd Generation Partnership Project (3GPP) to provide its users with higher data transfer rates and a more satisfying quality of experience. The guarantee of quality of service (QoS) to users has become an important part of the development of LTE technology, as it is essential for the availability of applications such as voice and video, which are increasingly in demand. In LTE networks, QoS is guaranteed from Radio Resource Management (RRM), through algorithms that lead how finite network resources are shared among all users. Among the RRM algorithms, CAC - Call Admission Control is one of the most relevant: it takes the decision to admit or reject a connection, based on the type of the connection, your requirements of QoS and the network occupancy rate. Since it is impractical to admit all connection requests, it aims to assure that radio resources are used optimally to meet the QoS requirements of the admitted connections, thus expecting the user to have a satisfactory quality of experience. Because the LTE standard does not specify mechanisms for connection admissions, it is proposed in this work a call admission control algorithm (CAC), capable of attending the main classes of services defined by the standard. The strategy of the CAC algorithm presented in this work prioritizes GBR (Guaranteed Bit Rate) connections and handoff connections (calls that are already in progress) through the dynamic adaptation of reserved sections of the bandwidth and preemption of non-GBR connections, which are more tolerant to the reduction of data rate. The evaluation of the efficiency of the proposed CAC algorithm was done through modeling and simulation in a typically urban scenario. Their results were compared with the results of other CAC algorithms found in the literature and quite popular, which were also modeled in the same scenario. Simulation results show that the functions implemented in the algorithm were able to present a considerable reduction in the rate of connection drops and increase in the number of admitted connections.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-02
2020-06-18T21:40:14Z
2020-06-18T21:40:14Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv CAMARGOS, Gustavo Lopes. Um Algoritmo de CAC com Reserva Dinâmica de Recursos e Preempção para Redes LTE. 115 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Federal de Uberlândia. Uberlândia, 2020. DOI http://doi.org/10.14393/ufu.di.2020.3906
https://repositorio.ufu.br/handle/123456789/29429
http://doi.org/10.14393/ufu.di.2020.3906
identifier_str_mv CAMARGOS, Gustavo Lopes. Um Algoritmo de CAC com Reserva Dinâmica de Recursos e Preempção para Redes LTE. 115 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Federal de Uberlândia. Uberlândia, 2020. DOI http://doi.org/10.14393/ufu.di.2020.3906
url https://repositorio.ufu.br/handle/123456789/29429
http://doi.org/10.14393/ufu.di.2020.3906
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/us/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/us/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Uberlândia
Brasil
Programa de Pós-graduação em Engenharia Elétrica
publisher.none.fl_str_mv Universidade Federal de Uberlândia
Brasil
Programa de Pós-graduação em Engenharia Elétrica
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFU
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Repositório Institucional da UFU
collection Repositório Institucional da UFU
repository.name.fl_str_mv Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv diinf@dirbi.ufu.br
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