Software-Defined Mobile Backhaul for Future Train to Ground Communication Services

Aravinthan Gopalasingham 1 Quan Pham Van 2 Laurent Roullet 3 Chung Shue Chen 1, 4 Eric Renault 2 Lionel Natarianni 1 Stephane De Marchi 5 Emmanuel Hamman 5
1 Alcatel-Lucent Bell Labs France [Nozay]
2 RS2M - Département Réseaux et Services Multimédia Mobiles
3 Alcatel Lucent Bell Labs
4 LINCS - Laboratory of Information, Network and Communication Sciences
5 Simpulse
Abstract : Software Defined Networking (SDN) has attracted tremendous interest in the telecommunication industry due to its ability to abstract, manage and dynamically re-configure end-to-end networks from a centralized controller. Though SDN is considered to be a suitable candidate for various use cases in mobile networks, none of the work so far has discussed its advantages and actual realization for Train-to-Wayside Communication System (TWC). In this paper, for the first time, the architecture and use cases of SDN controlled mobile backhauling framework for TWC is proposed. We discuss how our proposed architecture can efficiently handle mobility management and also provide dynamic quality-of-service (QoS) for different services on board. As a first step, a software prototype is developed using industrial standard OpenDayLight SDN controller to have our architecture evaluated. Since the automotive sector is being considered to be an important driver for 5G network, our SDN based mobile backhauling solution can be positioned in 5G where SDN plays an important role.
Keywords : SDN Intelligent Transport System LTE/5G OpenDaylight OpenFlow Open vSwitch
Type de document :
Communication dans un congrès
WMNC 2016 - 9th IFIP International Conference Wireless and Mobile Networking., Jul 2016, Colmar, France. 2016, WMNC 2016
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Aravinthan Gopalasingham, Quan Pham Van, Laurent Roullet, Chung Shue Chen, Eric Renault, et al.. Software-Defined Mobile Backhaul for Future Train to Ground Communication Services. WMNC 2016 - 9th IFIP International Conference Wireless and Mobile Networking., Jul 2016, Colmar, France. 2016, WMNC 2016. 〈hal-01323516〉

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