Slicing with guaranteed quality of service in wifi networks

Network slicing has recently been proposed as one of the main enablers for 5G networks. The slicing concept consists of the partition of a physical network into several self-contained logical networks (slices) that can be tailored to offer different functional or performance requirements. In the con...

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Autores: Richart, Matías, Baliosian, Javier, Serrat Fernández, Joan, Gorricho Moreno, Juan Luis, Agüero Calvo, Ramón||| 0000-0002-9620-3990
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/20839
Acceso en línea:http://hdl.handle.net/10902/20839
Access Level:acceso abierto
Palabra clave:5G
Quality of service
Stochastic optimization
Wireless LAN
Wireless network slicing
Resource management
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spelling Slicing with guaranteed quality of service in wifi networksRichart, MatíasBaliosian, JavierSerrat Fernández, JoanGorricho Moreno, Juan LuisAgüero Calvo, Ramón||| 0000-0002-9620-39905GQuality of serviceStochastic optimizationWireless LANWireless network slicingResource managementNetwork slicing has recently been proposed as one of the main enablers for 5G networks. The slicing concept consists of the partition of a physical network into several self-contained logical networks (slices) that can be tailored to offer different functional or performance requirements. In the context of 5G networks, we argue that existing ubiquitous WiFi technology can be exploited to cope with new requirements. Therefore, in this paper, we propose a novel mechanism to implement network slicing in WiFi Access Points. We formulate the resource allocation problem to the different slices as a stochastic optimization problem, where each slice can have bit rate, delay, and capacity requirements. We devise a solution to the problem above using the Lyapunov drift optimization theory, and we develop a novel queuing and scheduling algorithm. We have used MATLAB and Simulink to build a prototype of the proposed solution, whose performance has been evaluated in a typical slicing scenario.This work has been supported in part by the European Commission and the Spanish Government (Fondo Europeo de Desarrollo Regional, FEDER) by means of the EU H2020 NECOS (777067) and ADVICE (TEC2015-71329) projects, respectivelyInstitute of Electrical and Electronics EngineeersUniversidad de Cantabria20202020-09-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttp://hdl.handle.net/10902/20839IEEE Transactions on Network and Service Management, 2020, 17(3), 1822-1837reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/208392026-06-02T12:39:31Z
dc.title.none.fl_str_mv Slicing with guaranteed quality of service in wifi networks
title Slicing with guaranteed quality of service in wifi networks
spellingShingle Slicing with guaranteed quality of service in wifi networks
Richart, Matías
5G
Quality of service
Stochastic optimization
Wireless LAN
Wireless network slicing
Resource management
title_short Slicing with guaranteed quality of service in wifi networks
title_full Slicing with guaranteed quality of service in wifi networks
title_fullStr Slicing with guaranteed quality of service in wifi networks
title_full_unstemmed Slicing with guaranteed quality of service in wifi networks
title_sort Slicing with guaranteed quality of service in wifi networks
dc.creator.none.fl_str_mv Richart, Matías
Baliosian, Javier
Serrat Fernández, Joan
Gorricho Moreno, Juan Luis
Agüero Calvo, Ramón||| 0000-0002-9620-3990
author Richart, Matías
author_facet Richart, Matías
Baliosian, Javier
Serrat Fernández, Joan
Gorricho Moreno, Juan Luis
Agüero Calvo, Ramón||| 0000-0002-9620-3990
author_role author
author2 Baliosian, Javier
Serrat Fernández, Joan
Gorricho Moreno, Juan Luis
Agüero Calvo, Ramón||| 0000-0002-9620-3990
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv 5G
Quality of service
Stochastic optimization
Wireless LAN
Wireless network slicing
Resource management
topic 5G
Quality of service
Stochastic optimization
Wireless LAN
Wireless network slicing
Resource management
description Network slicing has recently been proposed as one of the main enablers for 5G networks. The slicing concept consists of the partition of a physical network into several self-contained logical networks (slices) that can be tailored to offer different functional or performance requirements. In the context of 5G networks, we argue that existing ubiquitous WiFi technology can be exploited to cope with new requirements. Therefore, in this paper, we propose a novel mechanism to implement network slicing in WiFi Access Points. We formulate the resource allocation problem to the different slices as a stochastic optimization problem, where each slice can have bit rate, delay, and capacity requirements. We devise a solution to the problem above using the Lyapunov drift optimization theory, and we develop a novel queuing and scheduling algorithm. We have used MATLAB and Simulink to build a prototype of the proposed solution, whose performance has been evaluated in a typical slicing scenario.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-09-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10902/20839
url http://hdl.handle.net/10902/20839
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineeers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineeers
dc.source.none.fl_str_mv IEEE Transactions on Network and Service Management, 2020, 17(3), 1822-1837
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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