• DocumentCode
    2903152
  • Title

    A Hughes-Hartogs Algorithm Based Bit Loading Algorithm for OFDM Systems

  • Author

    Zhang, Huimin ; Fu, Jian ; Song, Jian

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2010
  • fDate
    23-27 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposes a bit loading algorithm for orthogonal frequency division multiplexing (OFDM) systems. With the restrictions of available transmit power and required bit-error-rate (BER) performance, the algorithm aims at achieving the maximal data rate. Although the proposed algorithm is based on the Hughes-hartogs algorithm, the computational complexity is only O(k × M), where k denotes the number of iterations required to meet the constraints and M denotes the number of subcarriers. Simulation results show that 15 iterations are sufficient to meet the constrains, and the degradation of information bits loaded per OFDM symbol is less than one percent over the entire available transmit power. The proposed algorithm is appropriate for practical OFDM systems with either uniform or different SNR gaps in wireless channels for its low computational complexity and good performance.
  • Keywords
    OFDM modulation; computational complexity; error statistics; wireless channels; BER; Hughes-hartogs algorithm; OFDM systems; bit loading algorithm; bit-error-rate; computational complexity; orthogonal frequency division multiplexing systems; wireless channels; Approximation algorithms; Bit error rate; Communications Society; Computational complexity; Computational modeling; Forward error correction; Iterative algorithms; Mathematical model; OFDM; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2010 IEEE International Conference on
  • Conference_Location
    Cape Town
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4244-6402-9
  • Type

    conf

  • DOI
    10.1109/ICC.2010.5502109
  • Filename
    5502109