• DocumentCode
    1335506
  • Title

    Auction-based resource allocation in cognitive radio systems

  • Author

    Zhang, Yang ; Niyato, Dusit ; Wang, Ping ; Hossain, Ekram

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • Volume
    50
  • Issue
    11
  • fYear
    2012
  • fDate
    11/1/2012 12:00:00 AM
  • Firstpage
    108
  • Lastpage
    120
  • Abstract
    Auction theory, as a subfield of economics, provides useful tools to model, analyze, and optimize radio resource management in cognitive radio environments. By using an auction, radio resources such as subchannel, time slot, and transmit power can be allocated among licensed and unlicensed users in the system, following market laws. Due to the flexibility of mechanism design, there are various auction mechanisms that have been applied to cognitive radio systems with different characteristics. In this article, we first provide an overview of the basics of general auctions. Then the motivations and specific design issues in applying auctions to wireless network architectures and protocols are discussed. Then we review the state of the art in the use of auction theory and mechanism design in cognitive radio networks. This will enable the readers to have a general view of auction fundamentals, as well as the recent development and applications of auction theory in the emerging cognitive wireless networks.
  • Keywords
    cognitive radio; commerce; protocols; resource allocation; auction theory; auction-based resource allocation; cognitive radio environments; cognitive radio networks; cognitive radio systems; economics; protocols; radio resource management; radio resources; wireless network architectures; Base stations; Cognitive radio; Cost accounting; Multiaccess communication; Radio communication; Resource management;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2012.6353690
  • Filename
    6353690