Integrating adaptive video streaming service with multi-access network management

Tiia Ojanperä (Corresponding Author), Markus Luoto, J. Ortiz, Mikko Myllyniemi

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)492-505
Number of pages13
JournalMobile Networks and Applications
Volume17
Issue number4
DOIs
Publication statusPublished - 2012
MoE publication typeA1 Journal article-refereed

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Keywords

  • Adaptive video streaming
  • cognitive networks
  • Mobile IPv6
  • network expert system
  • SVC

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