• DocumentCode
    1806248
  • Title

    Sponsoring mobile data: An economic analysis of the impact on users and content providers

  • Author

    Joe-Wong, Carlee ; Sangtae Ha ; Mung Chiang

  • Author_Institution
    Princeton Univ., Princeton, NJ, USA
  • fYear
    2015
  • fDate
    April 26 2015-May 1 2015
  • Firstpage
    1499
  • Lastpage
    1507
  • Abstract
    In January 2014, AT&T introduced sponsored data to the U.S. mobile data market, allowing content providers (CPs) to subsidize users´ cost of mobile data. As sponsored data gains traction in industry, it is important to understand its implications. This work considers CPs´ choice of how much content to sponsor and the implications for users, CPs, and ISPs (Internet service providers). We first formulate a model of user, CP, and ISP interaction for heterogeneous users and CPs and derive their optimal behaviors. We then show that these behaviors can reverse our intuition as to how user demand and utility change with different user and CP characteristics. While all three parties can benefit from sponsored data, we find that sponsorship disproportionately favors less cost-constrained CPs and more cost-constrained users, exacerbating CP inequalities but making user demand more even. We also show that users´ utilities increase more than CPs´ with sponsored data. We finally illustrate these results in practice through numerical simulations with data from a commercial pricing trial and introduce a framework for CPs to decide which, in addition to how much, content to sponsor.
  • Keywords
    mobile radio; numerical analysis; traction; CP user characteristics; U.S. mobile data market; content provider framework; economic analysis; industrial traction; mobile data sponsoring; numerical simulation; user demand; Computers; Conferences; Data models; Elasticity; Mobile communication; Pricing; Quality of service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications (INFOCOM), 2015 IEEE Conference on
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2015.7218528
  • Filename
    7218528