• DocumentCode
    645411
  • Title

    RB allocation based on genetic algorithm and coordination over the X2 interface in the LTE uplink

  • Author

    Essassi, Safa ; Cherif, Sofiane ; Siala, Mohamed

  • Author_Institution
    Engineering school of Telecommunications of Tunis (Sup´Com), University of Carthage, Tunisia
  • fYear
    2013
  • fDate
    8-11 Sept. 2013
  • Firstpage
    2424
  • Lastpage
    2428
  • Abstract
    The universal frequency reuse has been targeted for the Long Term Evolution. It leads to a harmful inter-cell interference experienced notably by the cell-edge users. The uplink inter-cell interference coordination becomes among the most important challenges. Throughout literature, many techniques were proposed to overcome this issue. Among these techniques, the soft frequency reuse concept grasped many attentions. Certainly, it succeeded in reducing the interference for edge-cell users by prohibiting the allocation of the same RB to two users in adjacent cells-edge. However, it presents several drawbacks in terms of spectral efficiency and overloaded cell-edge users. The most proposed approaches are based on this scheme. In this context, this study introduces a novel strategy that will avoid these shortcomings. Our idea aims to optimize the resource block allocation by using the genetic algorithm approach and maximizing channel capacity. We exploit information exchanged over the X2 interface. Simulation results show the effectiveness of our proposed approach.
  • Keywords
    Biological cells; Genetic algorithms; Interference; Long Term Evolution; Resource management; Sociology; Statistics; Genetic Algorithm (GA); Inter-Cell Interference Coordination (ICIC); Resource Block (RB); X2 interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on
  • Conference_Location
    London, United Kingdom
  • ISSN
    2166-9570
  • Type

    conf

  • DOI
    10.1109/PIMRC.2013.6666552
  • Filename
    6666552