• DocumentCode
    1758280
  • Title

    Core-Selecting Secondary Spectrum Auctions

  • Author

    Yuefei Zhu ; Baochun Li ; Haoming Fu ; Zongpeng Li

  • Author_Institution
    TXIO Co., USA
  • Volume
    32
  • Issue
    11
  • fYear
    2014
  • fDate
    41944
  • Firstpage
    2268
  • Lastpage
    2279
  • Abstract
    In a secondary spectrum market, the utility of a secondary user often depends on not only whether it wins, but also which channels it wins. Combinatorial auctions are a natural fit here to allow secondary users to bid for combinations of channels. In this context, the VCG mechanism constitutes a generic auction that uniquely guarantees both truthfulness and efficiency. There also exists related auction design that relaxes efficiency due to perceived complexity issues, and focuses on truthfulness. Starting with new empirical evidences on the complexity issue, we propose to design core-selecting auctions instead, which resolve VCG´s vulnerability to collusion and shill bidding, and improve seller revenue. While the VCG type of auctions are unique in guaranteeing both efficiency and truthfulness, we prove that our core-selecting auctions are unique in guaranteeing both efficiency and shill-proofness, and always outperform VCG auctions in terms of seller revenue generated. Employing linear programming and quadratic programming techniques, we design two payment rules for minimizing the incentives of bidders to deviate from truth telling.
  • Keywords
    linear programming; quadratic programming; radio spectrum management; combinatorial auctions; core-selecting auctions; core-selecting secondary spectrum auctions; generic auction; linear programming; quadratic programming; secondary spectrum market; secondary user; Channel allocation; Cost accounting; Interference; Linear programming; Resource management; Wireless communication; Linear Programming; Secondary Networks; Secondary Spectrum Allocation; Truthful Auctions;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/JSAC.2014.141124
  • Filename
    6985750