Cognitive network management framework and approach for video streaming optimization in heterogeneous networks

Tiia Ojanperä (Corresponding Author), Markus Luoto, Mikko Majanen, Petteri Mannersalo, Pekka T. Savolainen

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)1739-1769
JournalWireless Personal Communications
Volume84
Issue number3
DOIs
Publication statusPublished - 2015
MoE publication typeA1 Journal article-refereed

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Keywords

  • network management architecture
  • decision algorithms
  • video adaptation
  • mobility management
  • QoE
  • testbed

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