• DocumentCode
    2124385
  • Title

    A low complexity and energy efficient dynamic channel allocation algorithm for multiuser OFDM

  • Author

    Bourichi, Adil EL ; Yasuura, Hiroto

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka
  • fYear
    2007
  • fDate
    26-28 April 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Algorithms for dynamic resource allocation in OFDM based wireless systems, known as Marge Adaptive optimization (MA), aim at reducing the total power consumption of the base station under individual minimum transmit rates for terminals. While it has been shown that using adaptive modulation increases the capacity of the wireless system, most MA algorithms may not be energy efficient when many mobile users are far from the base station because adaptive modulation decisions are left to the end of the algorithm after subcarrier allocation decisions have been already made. The low complexity channel allocation algorithm presented in this paper shows that a better use of adaptive modulation can result in better energy efficiency for both the base station and mobile users, while offering comparative performance with existing solutions.
  • Keywords
    OFDM modulation; adaptive modulation; channel allocation; computational complexity; mobile communication; optimisation; radio networks; Marge adaptive optimization; OFDM based wireless systems; adaptive modulation; allocation decisions; energy efficient dynamic channel allocation algorithm; mobile users; multiuser OFDM; orthogonal frequency division multiplexing; total power consumption; Base stations; Bit error rate; Channel allocation; Energy consumption; Energy efficiency; Heuristic algorithms; OFDM modulation; Quadrature amplitude modulation; Quadrature phase shift keying; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Telecommunications Symposium, 2007. WTS 2007
  • Conference_Location
    Pomona, CA
  • ISSN
    1934-5070
  • Print_ISBN
    978-1-4244-0696-8
  • Electronic_ISBN
    1934-5070
  • Type

    conf

  • DOI
    10.1109/WTS.2007.4563310
  • Filename
    4563310