• DocumentCode
    2325328
  • Title

    CTH01-3: A Low-complexity Adaptive Subcarrier, Bit, and Power Allocation Algorithm for OFDMA Systems

  • Author

    Gao, Long ; Cui, Shuguang ; Li, Feifei

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Arizona Univ., Tuczon, AZ
  • fYear
    2006
  • fDate
    Nov. 27 2006-Dec. 1 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Adaptive subcarrier, bit, and power allocation schemes for orthogonal frequency division multiple access (OFDMA) systems are considered. A low-complexity algorithm is proposed to minimize the overall transmit power under certain fairness constraints: Data rate and bit-error-rate (BER) requirements for each user. In the proposed algorithm, subcarrier allocation is first executed, which follows two steps: An initial subcarrier allocation to satisfy the individual data rate requirement; then a residual subcarrier allocation to further reduce the overall transmit power. After that, a single-user optimal bit and power allocation is performed for each user based on the water-filling strategy. The proposed heuristic subcarrier allocation algorithm has linear complexity in the number of users and subcarriers, as opposed to the combinatorial nature of the optimal solutions. More importantly, the proposed resource allocation scheme explores frequency diversity in a more efficient way compared with reference schemes of similar complexity, which makes it more preferable in highly frequency-selective fading channels.
  • Keywords
    OFDM modulation; computational complexity; diversity reception; error statistics; fading channels; frequency division multiple access; resource allocation; OFDMA systems; bit error rate; data rate; frequency diversity; frequency-selective fading channels; low-complexity adaptive subcarrier-bit-power allocation algorithm; resource allocation scheme; water-filling strategy; Bit error rate; Fading; Frequency conversion; Heuristic algorithms; Intersymbol interference; Iterative algorithms; OFDM; Power system modeling; Streaming media; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    1930-529X
  • Print_ISBN
    1-4244-0356-1
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2006.38
  • Filename
    4150668