• DocumentCode
    1789197
  • Title

    Coalition based interference mitigation in femtocell networks with multi-resource allocation

  • Author

    Yanjie Dong ; Min Sheng ; Shun Zhang ; Chungang Yang

  • Author_Institution
    State Key Lab. of ISN, Xidian Univ., Xi´an, China
  • fYear
    2014
  • fDate
    10-14 June 2014
  • Firstpage
    2695
  • Lastpage
    2700
  • Abstract
    In this paper, we investigate the interference mitigation in femtocell networks, where femtocell access points (FAPs) are allowed to cooperate as different cooperative groups to allocate resources. We model the femtocell cooperation characteristics as a coalition formation game in partition form with non-transferable utility. Furthermore, a distributed coalition formation algorithm is proposed to enable each FAP to decide to depart from or join in a coalition independently, moreover, we devise a low complex iterative algorithm to optimize the allocation of each coalition´s multi-dimensional resources for maximizing its FAPs´ payoffs. By applying our proposed coalition formation scheme, a Nash stable FAP partition is formed and FAPs in each coalition can effectively exploit the cooperative gain to mitigate the interference and maximize the sum rate. Numerical results are provided to corroborate our proposed studies.
  • Keywords
    cooperative communication; femtocellular radio; game theory; interference (signal); resource allocation; Nash stable FAP partition; coalition based interference mitigation; cooperative gain; cooperative groups; femtocell access points; femtocell networks; low complex iterative algorithm; multiresource allocation; Games; Interference; Partitioning algorithms; Resource management; Switches; Tin; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2014 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/ICC.2014.6883731
  • Filename
    6883731