• DocumentCode
    623793
  • Title

    Core-selecting combinatorial auction design for secondary spectrum markets

  • Author

    Yuefei Zhu ; Baochun Li ; Zongpeng Li

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2013
  • fDate
    14-19 April 2013
  • Firstpage
    1986
  • Lastpage
    1994
  • 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, but it is vulnerable to shill bidding and generates low revenue. In this paper, without compromising efficiency, we propose to design core-selecting auctions instead, which resolves VCG´s vulnerability and improves seller revenue. We prove that in a secondary spectrum market, the revenue gleaned from a core-selecting auction is at least that of the VCG mechanism, and shills are not profitable to bidders. Employing linear programming and quadratic programming techniques, we design two payment rules suitable for our core-selecting auction, which aim to minimize the incentives of bidders to deviate from truthful-telling. Our extensive simulation results show that the revenues can be largely increased due to spectrum sharing.
  • Keywords
    commerce; linear programming; quadratic programming; radio spectrum management; wireless channels; VCG mechanism; VCG vulnerability; core-selecting combinatorial auction design; generic auction; linear programming techniques; quadratic programming techniques; secondary spectrum markets; secondary user; seller revenue; spectrum sharing; Channel allocation; Cost accounting; Economics; Resource management; Robustness; Vectors; Wireless communication;
  • 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.2013.6566999
  • Filename
    6566999