An architecture for the 5G control plane based on SDN and data distribution service

The tremendous growth of services and costumers' demands have rendered traditional networks inefficient. Telecommunication operators need a more flexible, scalable, faster and programmable architecture to offer users these new services. Software Defined Networking (SDN) has emerged as a natural...

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Published in2018 Fifth International Conference on Software Defined Systems (SDS) pp. 105 - 111
Main Authors Llorens-Carrodeguas, Alejandro, Cervello-Pastor, Cristina, Leyva-Pupo, Irian, Lopez-Soler, Juan Manuel, Navarro-Ortiz, Jorge, Exposito-Arenas, Jose Angel
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2018
Subjects
5G mobile communication
Area Controller
Computer architecture
Control Plane
Control systems
Data Distribution System
Global Controller
Network topology
Quality of service
Scalability
Software
Software Defined Networking
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Summary:The tremendous growth of services and costumers' demands have rendered traditional networks inefficient. Telecommunication operators need a more flexible, scalable, faster and programmable architecture to offer users these new services. Software Defined Networking (SDN) has emerged as a natural solution to this situation as it enables network programmability. This paper provides a review of the SDN architectures applied to fifth generation (5G) networks. In this work, the prime focus is a proposal of the control plane for a 5G architecture with a hybrid hierarchical set of controllers. The architecture is based on a federation of multiple sub-network controllers, each managing only a section of the network, conveniently coordinated by a hierarchically-superior controller. The use of Data Distribution Service (DDS) as a standard of the Object Management Group (OMG) is explored to improve the performance of the proposed architecture. DDS is used taking into account empirical results which have demonstrated a significant improvement in the performance compared to other existing solutions that do not use DDS. We illustrate the flexibility of our approach by presenting some use cases describing how the different elements of this architecture work.
DOI:10.1109/SDS.2018.8370430