• DocumentCode
    598166
  • Title

    A Quality-of-Experience driven bidding game for uplink video transmission in next generation mobile networks

  • Author

    Schroeder, Damien ; El Essaili, Ali ; Steinbach, Eckehard ; Despotovic, Zoran ; Kellerer, Wolfgang

  • Author_Institution
    Inst. for Media Technol., Tech. Univ. Munchen, Munich, Germany
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    2281
  • Lastpage
    2284
  • Abstract
    Centralized approaches to solve resource allocation problems for wireless real-time multimedia communications have been intensively studied but require the availability of meta information about the multimedia content and channel information of all users. In this paper, we propose a Quality of Experience (QoE) driven bidding game for de-centralized uplink resource allocation among multiple mobile video producers. Different from previous works, the price per resource unit is defined on a Mean Opinion Score (MOS) scale and users bid for the resources that maximize their own utility function. Simulations in an LTE environment show the benefits of our distributed approach in terms of convergence time and QoE performance, compared to a centralized greedy scheme and a state-of-the-art game-theoretic approach.
  • Keywords
    Long Term Evolution; game theory; mobile radio; multimedia communication; next generation networks; quality of experience; video communication; LTE environment; MOS scale; QoE-driven bidding game; centralized approach; centralized greedy scheme; de-centralized uplink resource allocation; mean opinion score scale; multimedia content; multiple-mobile video producers; next generation mobile networks; quality-of-experience driven bidding game; state-of-the-art game-theoretic approach; uplink video transmission; user channel information; utility function maximization; wireless real-time multimedia communications; Convergence; Mobile communication; Mobile computing; Multimedia communication; Optimization; Resource management; Streaming media; LTE; Quality of Experience; game theory; resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6467351
  • Filename
    6467351