• DocumentCode
    2275393
  • Title

    A channel assignment and power setting scheme by fuzzy logics for OFDMA-based macro-femto systems

  • Author

    Chung, Wen-Ching ; Chang, Chung-Ju ; Liao, Yi-Chung

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2012
  • fDate
    15-17 Aug. 2012
  • Firstpage
    704
  • Lastpage
    708
  • Abstract
    In this paper, we propose a fuzzy-based channel assignment and power setting (FCAP) scheme for OFDMA-based macro-femto systems to effectively mitigate the interference caused by the deployment of femto base stations (FBSs). The FCAP scheme is a distributed solution for the spectrum allocation and interference mitigation problems in the macro-femto systems. By using the fuzzy logics, it dynamically determines the total number of available subchannels for the considering FBS. According to this determination, the FBS selects its preference subchannels to avoid using the same subchannels as its neighboring FBSs. Also, the FCAP scheme sets the transmission power by using the fuzzy logics to achieve a balance between the throughput maximization and the interference mitigation. Simulation results show that, the FCAP scheme can enhance the average SINR of femto users by 8.5 % and 29.4 % compared to the optimal downlink spectrum sharing scheme and the flexible spectrum usage and power control scheme, respectively.
  • Keywords
    OFDM modulation; channel allocation; femtocellular radio; frequency division multiple access; fuzzy logic; interference suppression; optimisation; power control; radiofrequency interference; wireless channels; FCAP scheme; OFDMA-based macrofemto system; SINR; channel assignment; femtobase station deployment; flexible spectrum usage; fuzzy logic; fuzzy-based channel assignment and power setting scheme; interference mitigation; optimal downlink spectrum sharing scheme; power control scheme; power setting scheme; spectrum allocation; subchannel preference; throughput maximization; Femtocells; Fuzzy logic; Interference; Macrocell networks; OFDM; Signal to noise ratio; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications in China (ICCC), 2012 1st IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2814-2
  • Electronic_ISBN
    978-1-4673-2813-5
  • Type

    conf

  • DOI
    10.1109/ICCChina.2012.6356975
  • Filename
    6356975