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Cognitive Network Management Framework and Approach for Video Streaming Optimization in Heterogeneous Networks

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Abstract

The future Internet will be highly heterogeneous in supporting a multitude of access technologies and networks with overlapping coverages. Optimization of network operations like management of resources, mobility or Quality of Service in order to ensure smooth network operation and high user satisfaction will be very challenging in the future networks. Cognitive network management can provide a solution of managing such complex systems. This paper studies cognitive network management in the context of optimizing video streaming performance in heterogeneous multi-access networks. The paper proposes a network management framework that relies on cognitive decision techniques in the joint optimization of network and video service performance. The proposed solution is also implemented and validated in part in a testbed environment. The results attest the feasibility of the solution as well as the benefits of cognitive decision techniques over non-learning or non-adaptive approaches.

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Acknowledgments

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 Cognitive Network Management under Uncertainty (COMMUNE) Project. The authors would like to thank their colleagues who have contributed to the project and especially those who have participated in the implementation of the prototype.

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Authors and Affiliations

  1. VTT Technical Research Centre of Finland, Kaitoväylä 1, 90571, Oulu, Finland

    Tiia Ojanperä, Markus Luoto, Mikko Majanen, Petteri Mannersalo & Pekka T. Savolainen

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  1. Tiia Ojanperä
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  2. Markus Luoto
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  3. Mikko Majanen
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  4. Petteri Mannersalo
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  5. Pekka T. Savolainen
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Correspondence to Tiia Ojanperä.

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Ojanperä, T., Luoto, M., Majanen, M. et al. Cognitive Network Management Framework and Approach for Video Streaming Optimization in Heterogeneous Networks. Wireless Pers Commun 84, 1739–1769 (2015). https://doi.org/10.1007/s11277-015-2519-7

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  • DOI: https://doi.org/10.1007/s11277-015-2519-7

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