• DocumentCode
    2522045
  • Title

    An energy-efficient resource allocation scheme based on genetic simulated annealing algorithm

  • Author

    Wang, Zhao ; Li, Youming ; Zhao, Cuiru ; Chen, Jiehui

  • Author_Institution
    Inst. of Commun. Technol., Ningbo Univ., Ningbo, China
  • fYear
    2012
  • fDate
    2-5 Oct. 2012
  • Firstpage
    867
  • Lastpage
    870
  • Abstract
    In wireless environment, the increase in the number of users and the demand for a higher rate have triggered rapidly booming energy consumption at the base station. Therefore, energy efficient design in wireless networks has become essential. This paper studies the problem of energy efficient downlink resource allocation for multi-user OFDM system and proposes a scheme based on genetic simulated annealing algorithm. The proposed scheme can efficiently minimize total power consumption with constraints both on bit-error rate and transmission rate for users requiring different levels of services. The simulation results show that the scheme has fast convergence speed without performance degradation.
  • Keywords
    OFDM modulation; error statistics; genetic algorithms; multi-access systems; radio networks; resource allocation; base station; bit error rate; energy efficient downlink resource allocation; genetic simulated annealing algorithm; multiuser OFDM system; transmission rate; wireless environment; wireless networks; Genetic algorithms; Genetics; OFDM; Resource management; Simulated annealing; Sociology; Statistics; Energy efficient; Genetic simulated annealing algorithm; Multi-user OFDM; Resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies (ISCIT), 2012 International Symposium on
  • Conference_Location
    Gold Coast, QLD
  • Print_ISBN
    978-1-4673-1156-4
  • Electronic_ISBN
    978-1-4673-1155-7
  • Type

    conf

  • DOI
    10.1109/ISCIT.2012.6381024
  • Filename
    6381024