• DocumentCode
    2967946
  • Title

    Resource Allocation in Multiuser OFDM System Based on Ant Colony Optimization

  • Author

    Zhao, Yinghong ; Xu, Xiaodong ; Hao, Zhijie ; Tao, Xiaofeng ; Zhang, Ping

  • Author_Institution
    Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2010
  • fDate
    18-21 April 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The problem of resource allocation in multiuser OFDM system is a combinatorial optimization problem, difficult to solve in polynomial time. For the sake of reducing complexity, it can be solved either by relaxing constraints and making use of linear algorithms or by metaheuristic methods. In this paper, ant colony optimization, a typical algorithm of metaheuristic methods, is applied to solve the problem of resource allocation in multiuser OFDM system. The system model for the application of ACO on the problem, as well as two algorithms based on ACO, is proposed. Comparing to traditional strategies, it is indicated by numerical results that the proposed algorithms can significantly increase the throughput of the system and simultaneously guarantee fairness.
  • Keywords
    OFDM modulation; computational complexity; multiuser channels; optimisation; resource allocation; ant colony optimization; combinatorial optimization problem; computational complexity; linear algorithm; metaheuristic method; multiuser OFDM system; polynomial time; resource allocation; Ant colony optimization; Communications Society; Constraint optimization; Educational technology; Employment; Intersymbol interference; OFDM; Particle swarm optimization; Polynomials; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2010 IEEE
  • Conference_Location
    Sydney, NSW
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4244-6396-1
  • Type

    conf

  • DOI
    10.1109/WCNC.2010.5506210
  • Filename
    5506210