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Orchestration of RAN and transport networks for 5G: An SDN approach
Ericsson Research, US.
Ericsson Research, US.
RISE - Research Institutes of Sweden, ICT, Acreo.
Ericsson Research, US.
Show others and affiliations
2017 (English)In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 55, no 4, p. 64-70, article id 1600119Article in journal (Refereed) Published
Abstract [en]

The fifth generation of mobile networks is planned to be commercially available in a few years. The scope of 5G goes beyond introducing new radio interfaces, and will include new services like low-latency industrial applications, as well as new deployment models such as cooperative cells and densification through small cells. An efficient realization of these new features greatly benefit from tight coordination among radio and transport network resources, something that is missing in current networks. In this article, we first present an overview of the benefits and technical requirements of resource coordination across radio and transport networks in the context of 5G. Then, we discuss how SDN principles can bring programmability to both the transport and radio domains, which in turn enables the design of a hierarchical, modular, and programmable control and orchestration plane across the domains. Finally, we introduce two use cases of SDN-based transport and RAN orchestration, and present an experimental implementation of them in a testbed in our lab, which confirms the feasibility and benefits of the proposed orchestration.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2017. Vol. 55, no 4, p. 64-70, article id 1600119
Keywords [en]
Computer applications, Electrical engineering, Deployment models, Programmability, Programmable controls, Radio interface, Resource coordinations, Technical requirement, Tight coordination, Transport networks, 5G mobile communication systems
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-41991DOI: 10.1109/MCOM.2017.1600119Scopus ID: 2-s2.0-85019004163OAI: oai:DiVA.org:ri-41991DiVA, id: diva2:1378487
Available from: 2019-12-13 Created: 2019-12-13 Last updated: 2019-12-13Bibliographically approved

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