• DocumentCode
    3487501
  • Title

    A Flexible Bit Allocation Algorithm Based on Adaptive Method for OFDM Channels

  • Author

    Wang, Anding ; Li, Shiju

  • Author_Institution
    Dept. of Inf. & Electron., Zhejiang Univ., Hangzhou
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    291
  • Lastpage
    294
  • Abstract
    This paper presents a new bit and power allocation scheme for OFDM systems with low computational complexity in which the overall transmission power is minimized by constraining the fixed data rate and bit error rate. The algorithm and simulation include two stages. The first stage involves the application of a target BER and SNR of each sub-carrier for a variable-rate bit pre-allocation. The second stage applies greedy and Campello approach to achieve constant channel rate of bit allocation. In a word, bit allocation with constant rate performs variable rate bit allocation first, and then modifies the overall bits to a constant. The simulation results demonstrate that the scheme has significant computational advantages over the conventional algorithms while providing optimal performance. It also provides considerable universality and flexibility for both the fixed rate voice data and variable rate multimedia data of the broadband wireless communication.
  • Keywords
    OFDM modulation; adaptive modulation; channel allocation; computational complexity; error statistics; greedy algorithms; BER; Campello approach; OFDM channels; OFDM systems; adaptive method; bit error rate; computational complexity; flexible bit allocation algorithm; greedy approach; power allocation scheme; variable-rate bit pre-allocation; Bit error rate; Bit rate; Computational modeling; Costs; Fading; OFDM modulation; Real time systems; Signal to noise ratio; Sorting; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.79
  • Filename
    4339854