Abstract
Emerging 5G communications aim to simplify the current inefficient and heterogeneous collection of wireless solutions for future systems. However, contrary to traditional mobile networks, 5G networks must consider many different application scenarios (Internet-of-Things, wearable devices, etc.). In this context it is defined the concept of network slicing, a technique where network resources are packaged and assigned in an isolated manner to set of users according to their specific requirements. The use of Virtual Network Functions and other similar technologies is a first step in this challenge, but deeper changes are required. Therefore, in this paper we present a virtualization-based technique for the design, management and implementation of future 5G systems with network slicing. The proposed technique employs extensively current virtualization technologies such as Docker or Kubernetes in order to create, coordinate and manage slices, services and functional components in future 5G networks. A simulation scenario describing these future mobile networks is also provided, in order to obtain first evidences of their predicted performance.
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Acknowledgments
Borja Bordel has received funding from the Ministry of Education through the FPU program (grant number FPU15/03977). Additionally, the research leading to these results has received funding from the Ministry of Economy and Competitiveness through SEMOLA project (TEC2015-68284-R) and from the Autonomous Region of Madrid through MOSI-AGIL-CM project (grant P2013/ICE-3019, co-funded by EU Structural Funds FSE and FEDER).
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Bordel, B., de Rivera, D.S., Alcarria, R. (2018). Virtualization-Based Techniques for the Design, Management and Implementation of Future 5G Systems with Network Slicing. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_13
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DOI: https://doi.org/10.1007/978-3-319-77712-2_13
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