• DocumentCode
    2361671
  • Title

    Truthful auction for cooperative communications with revenue maximization

  • Author

    Yang, Dejun ; Fang, Xi ; Xue, Guoliang

  • Author_Institution
    Arizona State Univ., Tempe, AZ, USA
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    4888
  • Lastpage
    4892
  • Abstract
    Auction theory has been applied to cooperative communications to either efficiently allocate resources or incentivize wireless devices to participate in cooperative communications. However, a common shortcoming of the existing studies is that the revenue generation is neglected. Revenue generation is the ultimate goal of commercial networks, e.g., WiMAX networks. In this paper, we study the problem of how to use auction mechanisms to allocate the relay nodes and charge the source nodes, such that the revenue of the seller, e.g., the base station, is maximized. We first propose a VCG-based auction mechanism, which can maximize the revenue while enforcing the truthfulness. To overcome the high time complexity of the VCG-based auction mechanism, we further design another truthful auction mechanism with low time complexity. Experiment results show that the suboptimal auction mechanism significantly reduces the time complexity without severely sacrificing the revenue.
  • Keywords
    cooperative communication; game theory; optimisation; VCG based auction mechanism; cooperative communication; relay node allocation; revenue maximization; suboptimal auction mechanism; truthful auction; Cost accounting; Exponential distribution; Relays; Resource management; Tin; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6363632
  • Filename
    6363632