Enhancing a 5G Network Slicing Management Model to Improve the Support of Mobile Virtual Network Operators Article Swipe
Andres J. Acosta Cardenas
,
David Fernández
,
Carlos M. Lentisco
,
Ricardo Flores Moyano
,
Luis Bellido
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1109/access.2021.3114645
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1109/access.2021.3114645
Network slicing is a key element in 5G networks. It allows a mobile network operator (MNO) to offer multiple logical networks tailored to the requirements of different industry verticals over a shared infrastructure. From the point of view of an MNO, a mobile virtual network operator (MVNO) is a particular type of vertical network requiring not only the provision of logical networks with specific infrastructure resources but also customized management capabilities to allow the MVNO to offer network slice-based services to its clients over the infrastructure of multiple MNOs. However, the lack of flexibility to provide a customized and efficient network slice management system per tenant under the current proposals of the 3rd Generation Partnership Project (3GPP) and European Telecommunications Standards Institute (ETSI) limits the possibilities of MVNOs. This paper addresses this requirement by proposing a novel virtualized multidomain and multiclient orchestration system aligned with the functionalities of the network slicing management framework proposed by the 3GPP and ETSI. In particular, there are three contributions of this paper: (i) an extended service-based architecture is designed to provide an isolated management system to different MVNOs; (ii) a novel high-level slice instance template is defined to specify management and isolation requirements supporting network slicing as a service model; and (iii) finally, a teleoperated driving use case is described to showcase how our proposal provides an MVNO with an independent management system to orchestrate several network slices in cross-domain environments.
Related Topics
Concepts
Computer science
Computer network
Virtual network
Network management
Network management station
Cellular network
Network element
Slicing
Radio access network
Network management application
Distributed computing
Flexibility (engineering)
Network architecture
Base station
World Wide Web
Mobile station
Statistics
Mathematics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2021.3114645
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/09546768.pdf
- OA Status
- gold
- Cited By
- 15
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3202873105
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3202873105Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2021.3114645Digital Object Identifier
- Title
-
Enhancing a 5G Network Slicing Management Model to Improve the Support of Mobile Virtual Network OperatorsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
Andres J. Acosta Cardenas, David Fernández, Carlos M. Lentisco, Ricardo Flores Moyano, Luis BellidoList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2021.3114645Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/6514899/09546768.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/6287639/6514899/09546768.pdfDirect OA link when available
- Concepts
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Computer science, Computer network, Virtual network, Network management, Network management station, Cellular network, Network element, Slicing, Radio access network, Network management application, Distributed computing, Flexibility (engineering), Network architecture, Base station, World Wide Web, Mobile station, Statistics, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
15Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 5, 2023: 6, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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