• DocumentCode
    623657
  • Title

    iDEAL: Incentivized dynamic cellular offloading via auctions

  • Author

    Wei Dong ; Rallapalli, Swati ; Jana, Rittwik ; Lili Qiu ; Ramakrishnan, K.K. ; Razoumov, Leo ; Yin Zhang ; Tae Won Cho

  • Author_Institution
    Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2013
  • fDate
    14-19 April 2013
  • Firstpage
    755
  • Lastpage
    763
  • Abstract
    The explosive growth of cellular traffic and its highly dynamic nature often make it increasingly expensive for a cellular service provider to provision enough cellular resources to support the peak traffic demands. In this paper, we propose iDEAL, a novel auction-based incentive framework that allows a cellular service provider to leverage resources from third-party resource owners on demand by buying capacity whenever needed through reverse auctions. iDEAL has several distinctive features: (i) iDEAL explicitly accounts for the diverse spatial coverage of different resources and can effectively foster competition among third-party resource owners in different regions, resulting in significant savings to the cellular service provider. (ii) iDEAL provides revenue incentives for third-party resource owners to participate in the reverse auction and be truthful in the bidding process. (iii) iDEAL is provably efficient. (iv) iDEAL effectively guards against collusion. (v) iDEAL effectively copes with the dynamic nature of traffic demands. In addition, iDEAL has useful extensions that address important practical issues. Extensive evaluation based on real traces from a large US cellular service provider clearly demonstrates the effectiveness of our approach. We further demonstrate the feasibility of iDEAL using a prototype implementation.
  • Keywords
    cellular radio; electronic commerce; mobile computing; telecommunication traffic; auction-based incentive framework; buying capacity; cellular resources; cellular service provider; cellular traffic growth; iDEAL; incentivized dynamic cellular offloading; peak traffic demands; third-party resource; traffic demands; Decision support systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2013 Proceedings IEEE
  • Conference_Location
    Turin
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4673-5944-3
  • Type

    conf

  • DOI
    10.1109/INFCOM.2013.6566862
  • Filename
    6566862