• DocumentCode
    2075277
  • Title

    Distributed resource allocation for device-to-device communications underlaying cellular networks

  • Author

    Rongqing Zhang ; Lingyang Song ; Zhu Han ; Xiang Cheng ; Bingli Jiao

  • Author_Institution
    Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    1889
  • Lastpage
    1893
  • Abstract
    In this paper, we investigate the resource sharing problem to optimize the system performance in device-to-device (D2D) communications underlaying cellular networks from a distributed and cooperative perspective. Specifically, we formulate a coalitional game with transferable utility, in which each user intends to maximize its own utility and has the incentive to cooperate with other users to form a strengthened user group that can increase the opportunity to win its preferred spectrum resources. Furthermore, we propose a distributed merge-and-split based coalition formation algorithm based on a new defined Max-Coalition order to effectively process the resource allocation problem. Simulation results confirm that, with much lower computational complexity, the proposed scheme achieves an approaching performance in terms of network sum-rate compared with the centralized optimal resource allocation scheme obtained via exhaustive search.
  • Keywords
    cellular radio; communication complexity; cooperative communication; game theory; radio spectrum management; resource allocation; search problems; D2D communications; cellular networks; coalitional game; computational complexity; cooperative perspective; device-to-device communications; distributed merge-and-split based coalition formation algorithm; distributed perspective; distributed resource allocation; exhaustive search; max-coalition order; network sum-rate; resource sharing problem; spectrum resources; system performance optimization; transferable utility; Computational complexity; Data communication; Games; Indexes; Interference; Resource management; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6654797
  • Filename
    6654797