• DocumentCode
    1774932
  • Title

    A spectrum allocation algorithm for device-to-device underlaying networks based on auction theory

  • Author

    Ang Li ; Xuewen Liao ; Di Zhang

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2014
  • fDate
    23-25 Oct. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Faced with the shortage of the radio resource in recent years, device-to-device (D2D) communication as an underlay to cellular networks has drawn much attention. Since D2D links will reuse the spectrum resources of cellular users, which will cause severe interference if not well controlled. In this paper we propose a spectrum allocation algorithm based on auction theory and a modified multi-auctioneer progressive spectrum auction mechanism is introduced. In order to ensure the fairness of different D2D users in the auction, a concept of maximum auction budget is also introduced. Moreover, a second round auction mechanism is considered in the algorithm in order to further improve the spectrum utilization. Numerical results show that the proposed algorithm can enhance the income of the base station (BS) greatly and ensure the fairness of all D2D users. It is further shown that this algorithm can reduce the number of starving users effectively.
  • Keywords
    cellular radio; commerce; BS; D2D communication; base station; cellular networks; cellular users; device-to-device underlaying networks; maximum auction budget; modified multi-auctioneer progressive spectrum auction mechanism; radio resource; second round auction mechanism; spectrum allocation algorithm; spectrum resource reuse; spectrum utilization; Base stations; Cognitive radio; Interference; Numerical models; Resource management; Signal processing algorithms; Uplink; Auction theory; Device-to-device (D2D); multi-auctioneer progressive auction; second round auction; spectrum allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Signal Processing (WCSP), 2014 Sixth International Conference on
  • Conference_Location
    Hefei
  • Type

    conf

  • DOI
    10.1109/WCSP.2014.6992120
  • Filename
    6992120