Hierarchical management architecture and testbed for mobile video service optimization

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

4 Citations (Scopus)

Abstract

There is demand for solutions capable of managing the constantly increasing video traffic loads over wireless networks while ensuring sufficient QoS and QoE for mobile video services. This paper presents a hierarchical network management architecture for optimized mobile video streaming in heterogeneous multi-access networks. The architecture jointly utilizes the access diversity of multi-access networks and video adaptation capabilities in the optimization, and relies on novel cognitive algorithms in implementing the automated decision-making for the management. To facilitate the development of such algorithms as next steps, the paper presents a testbed including the required components. The paper also includes a first-pass experimental evaluation on the testbed and preliminary optimization algorithms
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationInternational Conference on Computing, Networking and Communications, ICNC 2014
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages999-1005
ISBN (Electronic)978-1-4799-2358-8
DOIs
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Computing, Networking and Communications, ICNC 2014 - Honolulu, HI, United States
Duration: 3 Feb 20146 Feb 2014

Conference

ConferenceInternational Conference on Computing, Networking and Communications, ICNC 2014
Abbreviated titleICNC 2014
CountryUnited States
CityHonolulu, HI
Period3/02/146/02/14

    Fingerprint

Keywords

  • Distributed decision-making
  • handovers
  • multi-access networks
  • QoS
  • video adaptation
  • video QoE

Cite this

Ojanperä, T., Luoto, M., Uitto, M., & Kokkoniemi-Tarkkanen, H. (2014). Hierarchical management architecture and testbed for mobile video service optimization. In Proceedings: International Conference on Computing, Networking and Communications, ICNC 2014 (pp. 999-1005). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ICCNC.2014.6785474