The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Network Slicing in 5G: Survey and Challenges
Open accessAbstract
5G is envisioned to be a multi-service network supporting a wide range of verticals with a diverse set of performance and service requirements. Slicing a single physical network into multiple isolated logical networks has emerged as a key to realizing this vision. This article is meant to act as a survey, the first to the authors' knowledge, on this topic of prime interest. We begin by reviewing the state of the art in 5G network slicing and present a framework for bringing together and discussing existing work in a holistic manner. Using this framework, we evaluate the maturity of current proposals and identify a number of open research questions.
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Cites
From network sharing to multi-tenancy: The 5G network slice broker
Samdanis, K., Costa-Perez, X., & Sciancalepore, V. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7514161 · Cited by 507
Radio access network virtualization for future mobile carrier networks
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FlexRAN: A Flexible and Programmable Platform for Software-Defined Radio Access Networks
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Self-citationSoftAir: A software defined networking architecture for 5G wireless systems
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Mobile network architecture evolution toward 5G
Rost, P., Banchs, A., Berberana, I., Breitbach, M., Doll, M., Droste, H., Mannweiler, C., Puente, M. A., Samdanis, K., & Sayadi, B. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7470940 · Cited by 271
Network slicing as a service: enabling enterprises' own software-defined cellular networks
Zhou, X., Li, R., Chen, T., & Zhang, H. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7509393 · Cited by 268
Performance isolation and fairness for multi-tenant cloud storage
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Network Store: Exploring Slicing in Future 5G Networks
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Reshaping the mobile core network via function decomposition and network slicing for the 5G Era
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A Novel Radio Multiservice Adaptive Network Architecture for 5G Networks
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Deep Learning in Mobile and Wireless Networking: A Survey
Zhang, C., Patras, P., & Haddadi, H. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2904897 · Cited by 1,768
Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions
Afolabi, I., Taleb, T., Samdanis, K., Ksentini, A., & Flinck, H. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2815638 · Cited by 1,078
Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models
Minerva, R., Lee, G. M., & Crespi, N. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.2998530 · Cited by 812
Blockchain for 5G and beyond networks: A state of the art survey
Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102693 · Cited by 412
A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System
Habibi, M. A., Nasimi, M., Han, B., & Schotten, H. D. (2019) · IEEE Access · doi:10.1109/access.2019.2919657 · Cited by 312
Metadata
- Authors
- Foukas, X., Patounas, G., Elmokashfi, A., & Marina, M. K.
- Venue
- IEEE Communications Magazine
- Published
- 2017-05
- Volume
- 55
- Issue
- 5
- Pages
- 94-100
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2612074600
- Cited by
- 1,162
- References
- 10
- FWCI
- 71.36
- Type
- journal article
- Language
- en
- Open access
- green
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- Foukas, X., Patounas, G., Elmokashfi, A., & Marina, M. K. (2017). Network Slicing in 5G: Survey and Challenges. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2017.1600951
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
