• DocumentCode
    2110715
  • Title

    Proportional resource allocation for multi-user OFDM systems

  • Author

    Zhao, Xinfeng ; Zheng, Laibo ; Huang, Mingjuan ; Wang, Jintang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    1100
  • Lastpage
    1103
  • Abstract
    A novel resource allocation algorithm for multiuser OFDM systems with proportional fairness is presented in this paper. The algorithm aims to maximum the total transmit rate subject to the overall transmit power constraint and proportional user rate constraint with knowledge of the channel information. The proposed algorithm divides the problem into two steps: bit loading and subcarrier allocation. Bit loading algorithm is easily implemented according to Shannon Theorem with uniformly allocated power on each subcarrier of every user. Then in each iteration of subcarrier allocation, user with least normalized transmit rate has the priority to choose the best subcarrier. The computational complexity of the proposed algorithm is analyzed, as well as the fairness performance which is evaluated by a new proportional fairness index. Compared with two typical suboptimal algorithms, the proposed algorithm can achieve a better balance in proportional fairness, complexity and total transmit rate.
  • Keywords
    OFDM modulation; channel capacity; multiuser channels; resource allocation; bit loading; channel information; multi-user OFDM systems; proportional resource allocation; subcarrier allocation; Adaptation model; Channel capacity; Complexity theory; Loading; OFDM; Resource management; Signal to noise ratio; bit loading; multi-user orthogonal frequency division multiplexing (Multi-user OFDM) systems; proportional fairness(PF); resource allocation; subcarrier allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Information Security (ICITIS), 2010 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6942-0
  • Type

    conf

  • DOI
    10.1109/ICITIS.2010.5689743
  • Filename
    5689743