• DocumentCode
    2317824
  • Title

    Computational analysis of an auction for licensed and unlicensed use of spectrum

  • Author

    Sharkey, William W. ; Beltrán, Fernando ; Bykowsky, Mark

  • Author_Institution
    Fed. Commun. Comm., Washington, DC, USA
  • fYear
    2009
  • fDate
    13-15 May 2009
  • Firstpage
    488
  • Lastpage
    497
  • Abstract
    This paper employs simulation methods to evaluate the ability of three different auction mechanisms to determine an efficient license regime for radio spectrum as well as the efficient ownership of the associated rights. The two regimes explored are ldquolicensedrdquo spectrum, in which a winning bidder maintains exclusive rights to use the spectrum, subject only to technical restrictions, and ldquonon-licensedrdquo spectrum, in which multiple users are able to share spectrum on an open access basis. For each auction, we examine bidder incentives and provide detailed reports on both auction revenue and bidder surplus in a set of Nash equilibrium outcomes. Results are consistent with the preliminary conclusions of Bykowsky et al. (2008), that a market can be used to allocate spectrum between licensed and unlicensed use. When there is a clear market preference for either licensed or unlicensed use, all three auction mechanisms arrive at efficient outcomes. However, in the absence of such a preference, a first-price auction appears to be the preferred mechanism.
  • Keywords
    game theory; radio spectrum management; Nash equilibrium outcomes; auction mechanisms; auction revenue; bidder incentives; bidder surplus; licensed spectrum; nonlicensed spectrum; open access basis; radio spectrum; Clocks; Computational modeling; Environmental economics; FCC; Impedance; Information analysis; Licenses; Mechanical factors; Nash equilibrium; Performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Game Theory for Networks, 2009. GameNets '09. International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-4176-1
  • Electronic_ISBN
    978-1-4244-4177-8
  • Type

    conf

  • DOI
    10.1109/GAMENETS.2009.5137437
  • Filename
    5137437