• DocumentCode
    2029276
  • Title

    Resource Allocation for OFDMA System Based on Genetic Algorithm

  • Author

    Yu, Yu ; Zhou, Wuyang

  • Author_Institution
    PCN&SS Lab., Sci. & Technol. Univ. of China, Hefei
  • fYear
    2007
  • fDate
    20-21 Sept. 2007
  • Firstpage
    65
  • Lastpage
    69
  • Abstract
    In traditional resource allocation for OFDMA, the packet scheduling and subcarriers allocation are optimized independently. In order to improve the whole system performance, a resource allocation algorithm based on genetic algorithm was proposed, in which the packet scheduling and subcarriers allocation are optimized jointly. To maximize system throughput and guarantee fairness among users, the proposed algorithm uses stochastic approximation methods to control the parameter in scheduling; meanwhile uses a genetic algorithm to solve the subcarriers allocation problem. It is demonstrated in the simulation result that the proposed algorithm can improve the system performance in terms of throughput, packet loss rate, packet delay and fairness.
  • Keywords
    OFDM modulation; approximation theory; frequency division multiple access; genetic algorithms; resource allocation; scheduling; stochastic processes; OFDMA system; genetic algorithm; orthogonal frequency division multiple access; packet scheduling; resource allocation; stochastic approximation method; subcarrier allocation; Approximation algorithms; Approximation methods; Control systems; Delay; Genetic algorithms; Resource management; Scheduling algorithm; Stochastic systems; System performance; Throughput; OFDMA; genetic algorithm; packet scheduling; stochastic approximation; subcarriers allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cross Layer Design, 2007. IWCLD '07. International Workshop on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-1283-9
  • Electronic_ISBN
    978-1-4244-1284-6
  • Type

    conf

  • DOI
    10.1109/IWCLD.2007.4379039
  • Filename
    4379039