Abstract
In the future, mobile Internet access is expected to be over heterogeneous technologies and with support for dynamic adaptation in order to adjust efficiently to the varying network availability and conditions. To remove the burden of multi-access network management from users and operators, cognitive network management mechanisms may be used for obtaining the required automation over several networking functions like access selection and routing. In this paper, we introduce a novel control and signaling architecture employing cognitive mechanisms in optimizing video stream delivery over multi-access networks. We also present a prototype implementation of the proposed system encompassing open source components and supporting Scalable Video Coding (SVC). The initial results obtained from an experimental evaluation show how our solution may be used for optimizing video stream delivery in multi-access networks according to a user or operator defined policy.








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Acknowledgements
The work reported in this paper was partly supported by the Finnish Funding Agency for Technology and Innovation (Tekes) in the framework of the EUREKA/Celtic COMMUNE and CIER projects as well as by VTT Technical Research Centre of Finland in the framework of the ITSE project. Jordi’s work was partially funded by Fundación Séneca 04552/GERM/06 excellence research groups and the project “Walkie-Talkie: Vehicular Communication Systems to Enable Safer, Smarter, and Greener Transportation” (TIN2011-27543). The authors would like to thank their colleagues who have contributed to the different projects and especially those who have participated in the implementation of the prototype.
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Ojanperä, T., Luoto, M., Ortiz, J. et al. Integrating Adaptive Video Streaming Service with Multi-access Network Management. Mobile Netw Appl 17, 492–505 (2012). https://doi.org/10.1007/s11036-012-0377-z
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DOI: https://doi.org/10.1007/s11036-012-0377-z