ONIX: Open Radio Network Information eXchange

While video-on-demand still takes up the lions share of Internet traffic, we are witnessing a significant increase in the adoption of mobile applications defined by tight bit rate and latency requirements (e.g., augmented/virtual reality). Supporting such applications over a mobile network is very c...

ver descrição completa

Detalhes bibliográficos
Autores: Coronado Calero, Estefanía, Raviglione, Francesco, Malinverno, Marco, Casetti, Claudio, Cantarero, Ana, Cebrián Márquez, Gabriel, Riggio, Roberto
Formato: artículo
Fecha de publicación:2021
País:España
Recursos:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/44928
Acesso em linha:https://ieeexplore.ieee.org/abstract/document/9627826
https://hdl.handle.net/10578/44928
Access Level:acceso abierto
Palavra-chave:4G
5G
Multi-access Edge Computing
RNIS
id ES_489fa4a3941ccd483d33ef2990dee7d5
oai_identifier_str oai:ruidera.uclm.es:10578/44928
network_acronym_str ES
network_name_str España
repository_id_str
spelling ONIX: Open Radio Network Information eXchangeCoronado Calero, EstefaníaRaviglione, FrancescoMalinverno, MarcoCasetti, ClaudioCantarero, AnaCebrián Márquez, GabrielRiggio, Roberto4G5GMulti-access Edge ComputingRNISWhile video-on-demand still takes up the lions share of Internet traffic, we are witnessing a significant increase in the adoption of mobile applications defined by tight bit rate and latency requirements (e.g., augmented/virtual reality). Supporting such applications over a mobile network is very challenging due to the unsteady nature of the network and the long distance between the users and the application back-end, which usually sits in the cloud. To address these and other challenges, like security, reliability, and scalability, a new paradigm termed multi-access edge computing (MEC) has emerged. MEC places computational resources closer to the end users, thus reducing the overall end-to-end latency and the utilization of the network backhaul. However, to adapt to the volatile nature of a mobile network, MEC applications need real-time information about the status of the radio channel. The ETSI-defined radio network information service (RNIS) is in charge of providing MEC applications with up-to-date information about the radio network. In this article, we first discuss three use cases that can benefit from the RNIS (collision avoidance, media streaming, and Industrial Internet of Things). Then we analyze the requirements and challenges underpinning the design of a scalable RNIS platform, and report on a prototype implementation and its evaluation. Finally, we provide a roadmap of future research challenges.IEEE202520252021info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://ieeexplore.ieee.org/abstract/document/9627826https://hdl.handle.net/10578/44928reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/449282026-05-27T07:36:41Z
dc.title.none.fl_str_mv ONIX: Open Radio Network Information eXchange
title ONIX: Open Radio Network Information eXchange
spellingShingle ONIX: Open Radio Network Information eXchange
Coronado Calero, Estefanía
4G
5G
Multi-access Edge Computing
RNIS
title_short ONIX: Open Radio Network Information eXchange
title_full ONIX: Open Radio Network Information eXchange
title_fullStr ONIX: Open Radio Network Information eXchange
title_full_unstemmed ONIX: Open Radio Network Information eXchange
title_sort ONIX: Open Radio Network Information eXchange
dc.creator.none.fl_str_mv Coronado Calero, Estefanía
Raviglione, Francesco
Malinverno, Marco
Casetti, Claudio
Cantarero, Ana
Cebrián Márquez, Gabriel
Riggio, Roberto
author Coronado Calero, Estefanía
author_facet Coronado Calero, Estefanía
Raviglione, Francesco
Malinverno, Marco
Casetti, Claudio
Cantarero, Ana
Cebrián Márquez, Gabriel
Riggio, Roberto
author_role author
author2 Raviglione, Francesco
Malinverno, Marco
Casetti, Claudio
Cantarero, Ana
Cebrián Márquez, Gabriel
Riggio, Roberto
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv 4G
5G
Multi-access Edge Computing
RNIS
topic 4G
5G
Multi-access Edge Computing
RNIS
description While video-on-demand still takes up the lions share of Internet traffic, we are witnessing a significant increase in the adoption of mobile applications defined by tight bit rate and latency requirements (e.g., augmented/virtual reality). Supporting such applications over a mobile network is very challenging due to the unsteady nature of the network and the long distance between the users and the application back-end, which usually sits in the cloud. To address these and other challenges, like security, reliability, and scalability, a new paradigm termed multi-access edge computing (MEC) has emerged. MEC places computational resources closer to the end users, thus reducing the overall end-to-end latency and the utilization of the network backhaul. However, to adapt to the volatile nature of a mobile network, MEC applications need real-time information about the status of the radio channel. The ETSI-defined radio network information service (RNIS) is in charge of providing MEC applications with up-to-date information about the radio network. In this article, we first discuss three use cases that can benefit from the RNIS (collision avoidance, media streaming, and Industrial Internet of Things). Then we analyze the requirements and challenges underpinning the design of a scalable RNIS platform, and report on a prototype implementation and its evaluation. Finally, we provide a roadmap of future research challenges.
publishDate 2021
dc.date.none.fl_str_mv 2021
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ieeexplore.ieee.org/abstract/document/9627826
https://hdl.handle.net/10578/44928
url https://ieeexplore.ieee.org/abstract/document/9627826
https://hdl.handle.net/10578/44928
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407371837571072
score 15,812429

Registos relacionados