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Abstract

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Resilience and high availability are considered as essential requirements in 5G networks. To fullfil these requirements, the integration of a satellite component within mobile backhaul networks arises as a compelling proposition to provide backup connectivity to critical cell sites and divert traffic from congested areas so that a limited capacity in their terrestrial links could be supplemented during peak-time or even replaced in case of total/partial failure or maintenance. This is especially of interest for public protection and disaster relief (PPDR) communications in remote/rural areas that might require the fast deployment of nework capacity as well as in distressed areas where the terrestrial backhaul infrastructure might have suffered damages. This paper first describes an architectural framework that enables the integration and management of the satellite capacity as a constituent part of a Software Defined Networking (SDN) -based traffic engineered mobile backhaul network. Then, a SDN-based Traffic Engineering (TE) application is proposed to manage some amount of dynamically steerable satellite capacity provisioned for resilience purposes to maximize a network utility function under both failure and nonfailure conditions in the terrestrial links. Numerical results are presented to assess the benefits of the proposed TE application and its performance is compared to that of a traditional overflow solution.

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Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/ict-dm.2017.8275692
https://dblp.uni-trier.de/db/conf/ict-dm/ict-dm2017.html#MendozaFS17,
https://upcommons.upc.edu/bitstream/2117/114507/3/2017%20-%20SDN-based%20TE%20application%20ICT-DM2017.pdf,
https://core.ac.uk/display/157810573,
https://academic.microsoft.com/#/detail/2787218097
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Document information

Published on 01/01/2017

Volume 2017, 2017
DOI: 10.1109/ict-dm.2017.8275692
Licence: CC BY-NC-SA license

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