• DocumentCode
    2098375
  • Title

    Symmetrical cooperative strategies in wireless networks: A cooperative game approach

  • Author

    Ma Kai ; Guan Xinping ; Zhao Bin

  • Author_Institution
    Key Lab. of Ind. Comput. Control Eng. of Hebei Province, Yanshan Univ., Qinhuangdao, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    4175
  • Lastpage
    4179
  • Abstract
    This paper proposes a cooperative strategy for multi-user symmetrical cooperative communication networks. The cooperative strategy for two users is not suitable for the multi-user networks, where only part of the users participate in cooperation. To solve this problem, first, a multi-user cooperative framework executed in turn is presented and the cooperative condition is established. Second, the users´ maximum feasible cooperative subset is obtained via the admission control algorithm. Then, an optimal bandwidth allocation framework is proposed utilizing NBS (Nash bargaining solution) from cooperative game theory. Simulation results demonstrate that the proposed strategy could find the users´ cooperative subset effectively, and obtain better transmission rates than the non-cooperative strategy.
  • Keywords
    game theory; multi-access systems; wireless sensor networks; Nash bargaining solution; admission control algorithm; cooperative game theory; cooperative subset; multiuser cooperative framework; multiuser network; multiuser symmetrical cooperative communication network; noncooperative strategy; optimal bandwidth allocation framework; symmetrical cooperative strategy; transmission rate; wireless network; Admission control; Bandwidth; Channel allocation; Game theory; Games; Relays; Resource management; Admission Control; Bandwidth Allocation; Cooperative Communications; Game Theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5573092