• DocumentCode
    2257010
  • Title

    A fair and effective adaptive resource allocation method for multi-user OFDM systems

  • Author

    Mingyu, Zhou ; Lihua, Li ; Minghua, Zhong

  • Author_Institution
    Beijing Univ. of Posts & Telecommun, Beijing
  • fYear
    2007
  • fDate
    17-19 Oct. 2007
  • Firstpage
    95
  • Lastpage
    100
  • Abstract
    For a multi-user orthogonal frequency division multiplexing (OFDM) system, system reliability, availability and fairness should be guaranteed simultaneously. Resource allocation problem for such systems can be described as maximizing overall throughput while satisfying requirement of fairness, subject to power restriction and quality of service (QoS) requirement. Existing researches provide solution with high throughput, but perform normally in fairness. Aiming at the problem, an adaptive resource allocation method is proposed. Firstly, sub-carriers are allocated equally to all users. Second, bits and power are loaded on the sub-carriers following Greedy algorithm for all users. Third, fairness is improved through joint adjustment to the sub-carriers, bits, and power. Simulations under typical urban channel were carried out, and results show that the proposed method can obtain nice BER performance and high throughput. What´s more, it brings excellent fairness over the other methods. It is recommended to be adopted for services with tight fairness requirement.
  • Keywords
    OFDM modulation; error statistics; greedy algorithms; quality of service; resource allocation; BER performance; adaptive resource allocation method; error statistics; greedy algorithm; multiuser OFDM system; orthogonal frequency division multiplexing system; quality of service requirement; Bit error rate; Information technology; OFDM; Resource management; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies, 2007. ISCIT '07. International Symposium on
  • Conference_Location
    Sydney,. NSW
  • Print_ISBN
    978-1-4244-0976-1
  • Electronic_ISBN
    978-1-4244-0977-8
  • Type

    conf

  • DOI
    10.1109/ISCIT.2007.4391992
  • Filename
    4391992