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NETWORK SLICING: A MOBILITY MANAGEMENT PERSPECTIVE

Evelina Pencheva

First published: 2018-06-20https://doi.org/10.5593/sgem2018/6.3/s27.083View metrics

Abstract

Future 5G networks are expected to provide ubiquitous connectivity for extremely large number of devices with diverse characteristics in terms of storage, computing, network capacity and power supply. These networks will support an enormous myriad of services, application and business models with specific requirements for performance, reliability, and security. Network slicing can address the diverse requirements of diverse use cases by enabling network operators to create and deploy a number of virtualized networks over a common physical infrastructure. These virtualized networks are customized to specific needs of applications, services, clients and operators. In this paper, we present in brief the concept of network slicing and describe the enabling technologies. The focus is on mobility management functionality that may be provided as a service on demand using network slicing. Two use cases with different mobility management requirements are considered and the cooperation of supported functions is illustrated for edge computing environment.

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Publication details

Title
NETWORK SLICING: A MOBILITY MANAGEMENT PERSPECTIVE
Authors
Evelina Pencheva
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Nano, Bio and Green - Technologies for a Sustainable Future
Publisher
STEF92 Technology
Year
2018
Pages
641-648
SWS Citekey
Pencheva201827641648
ISSN
1314-2704
ISBN
978-619-7408-52-2
Language
en
Publication type
Conference Paper
Keywords
References11
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  3. Rost, P. et al., Network Slicing to Enable Scalability and Flexibility in 5G Mobile Networks, IEEE Communications Magazine, vol. 55, no. 5, pp. 72-79, 2017.

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  5. Mekky, H., Hao, F., Mukherjee, S., Lakshman, T. V., Zhang, Z. L., Network function virtualization enablement within SDN data plane, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications, Atlanta, GA, 2017, pp. 1-9.

  6. Chatras, B., Tsang Kwong U. S.. Bihannic, N., NFV enabling network slicing for 5G, 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN), Paris, pp. 219-225, 2017.

  7. Rawat, D., Reddy, R. S., Software Defined Networking Architecture, Security and Energy Efficiency: A Survey, IEEE Communications Surveys & Tutorials, vol. 19, issue 1, pp. 325- 346, 2017.

  8. White, K., Denney, E., Knudson, M., Marnerides, A., Pezaros, D., A programmable SDN_NFV-based architecture for UAV telemetry monitoring, 14th IEEE Annual Consumer Communications & Networking Conference, pp.522-527, 2017.

  9. Taleb, T., Samdanis, K., Mada, B., Flinck, H., Dutta, S., Sabella, D. On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration, IEEE Communications Surveys & Tutorials, vol. 19, no. 3, pp. 1657-1681, 2017.

  10. Pencheva E., Atanasov, I., An Extension of Radio Network Information Interfaces for Terminal Activity in a Cell, 9th IFIP International Conference on New Technologies, Mobility & Security, NTMS’2018, Paris, France, pp. 1-5.

  11. Jain, A., Lopez-Aguilera, E., Demirkol, I., Mobility Management as a Service for 5G, Computer Science, Networking and Internet Architecture, Cornell University Library, 2017, arXiv:1705.09101 [cs.NI].

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