Modelling and implementation of virtual radio resources management for 5G Cloud RAN

Abstract The virtualisation of Radio Access Networks (RANs) is one of the goals in designing 5G mobile networks. This paper aims at presenting a proof of concept for the virtualisation of radio resources using Open Air Interface (OAI), a software-based Long-Term Evolution (LTE) eNodeB physical emula...

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Main Authors: Sina Khatibi, Luísa Caeiro, Lúcio S. Ferreira, Luis M. Correia, Navid Nikaein
Format: Article
Language:English
Published: SpringerOpen 2017-07-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
5G
Online Access:http://link.springer.com/article/10.1186/s13638-017-0908-1
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spelling doaj-ecbcfa2de8db4d4f8672be811d9be0c82020-11-24T23:44:14ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992017-07-012017111610.1186/s13638-017-0908-1Modelling and implementation of virtual radio resources management for 5G Cloud RANSina Khatibi0Luísa Caeiro1Lúcio S. Ferreira2Luis M. Correia3Navid Nikaein4IST/INESC-ID, University of LisbonIPS-EST Setúbal, Setúbal and INESC-IDLisbon Lusíada University and INESC-IDIST/INESC-ID, University of LisbonEurecomAbstract The virtualisation of Radio Access Networks (RANs) is one of the goals in designing 5G mobile networks. This paper aims at presenting a proof of concept for the virtualisation of radio resources using Open Air Interface (OAI), a software-based Long-Term Evolution (LTE) eNodeB physical emulator. OAI was extended to support multi-tenancy, representing diverse Virtual mobile Network Operators (VNOs) with different Service Level Agreements (SLAs). A comprehensive analytical model for managing the virtual radio resources has been proposed, with two key parts: estimation of available radio resources and their allocation to different VNOs. The estimation is performed by the model, and the allocation is managed by OAI scheduling. Various scenarios and use cases are studied in this virtual RAN environment, network performance being evaluated for different situations, by varying guaranteed levels, serving weights, and used services. Results show that the proposed approach offers almost the same capacity to guaranteed VNOs regardless of other existing VNOs, experiencing at worst a degradation of 32% of its initial allocated data rate, without violation of the guaranteed data rate. The data rate allocated to best effort VNOs may decrease up to 7% of its initial value, which is acceptable, to guarantee other more demanding SLAs.http://link.springer.com/article/10.1186/s13638-017-0908-1VirtualisationRadio resourcesCloudC-RAN5G
collection DOAJ
language English
format Article
sources DOAJ
author Sina Khatibi
Luísa Caeiro
Lúcio S. Ferreira
Luis M. Correia
Navid Nikaein
spellingShingle Sina Khatibi
Luísa Caeiro
Lúcio S. Ferreira
Luis M. Correia
Navid Nikaein
Modelling and implementation of virtual radio resources management for 5G Cloud RAN
EURASIP Journal on Wireless Communications and Networking
Virtualisation
Radio resources
Cloud
C-RAN
5G
author_facet Sina Khatibi
Luísa Caeiro
Lúcio S. Ferreira
Luis M. Correia
Navid Nikaein
author_sort Sina Khatibi
title Modelling and implementation of virtual radio resources management for 5G Cloud RAN
title_short Modelling and implementation of virtual radio resources management for 5G Cloud RAN
title_full Modelling and implementation of virtual radio resources management for 5G Cloud RAN
title_fullStr Modelling and implementation of virtual radio resources management for 5G Cloud RAN
title_full_unstemmed Modelling and implementation of virtual radio resources management for 5G Cloud RAN
title_sort modelling and implementation of virtual radio resources management for 5g cloud ran
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1499
publishDate 2017-07-01
description Abstract The virtualisation of Radio Access Networks (RANs) is one of the goals in designing 5G mobile networks. This paper aims at presenting a proof of concept for the virtualisation of radio resources using Open Air Interface (OAI), a software-based Long-Term Evolution (LTE) eNodeB physical emulator. OAI was extended to support multi-tenancy, representing diverse Virtual mobile Network Operators (VNOs) with different Service Level Agreements (SLAs). A comprehensive analytical model for managing the virtual radio resources has been proposed, with two key parts: estimation of available radio resources and their allocation to different VNOs. The estimation is performed by the model, and the allocation is managed by OAI scheduling. Various scenarios and use cases are studied in this virtual RAN environment, network performance being evaluated for different situations, by varying guaranteed levels, serving weights, and used services. Results show that the proposed approach offers almost the same capacity to guaranteed VNOs regardless of other existing VNOs, experiencing at worst a degradation of 32% of its initial allocated data rate, without violation of the guaranteed data rate. The data rate allocated to best effort VNOs may decrease up to 7% of its initial value, which is acceptable, to guarantee other more demanding SLAs.
topic Virtualisation
Radio resources
Cloud
C-RAN
5G
url http://link.springer.com/article/10.1186/s13638-017-0908-1
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AT luisacaeiro modellingandimplementationofvirtualradioresourcesmanagementfor5gcloudran
AT luciosferreira modellingandimplementationofvirtualradioresourcesmanagementfor5gcloudran
AT luismcorreia modellingandimplementationofvirtualradioresourcesmanagementfor5gcloudran
AT navidnikaein modellingandimplementationofvirtualradioresourcesmanagementfor5gcloudran
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