• DocumentCode
    3117141
  • Title

    Efficient FFT pruning algorithm for non-contiguous OFDM systems

  • Author

    Airoldi, Roberto ; Garzia, Fabio ; Nurmi, Jari

  • Author_Institution
    Dept. of Comput. Syst., Tampere Univ. of Technol., Tampere, Finland
  • fYear
    2011
  • fDate
    2-4 Nov. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents the study of an efficient trade-off between memory requirements and performance for the implementation of FFT pruning algorithm. FFT pruning algorithm is utilized in NC-OFDM systems to simplify the FFT algorithm complexity in presence of subcarrier sparseness. State-of-the-art implementations offer good performance with the drawback of high resources utilization, i.e. data memory for storage of the configuration matrix. In this work we introduce the partial pruning algorithm as an efficient way to implement FFT pruning, obtaining a balanced trade-off between performance and resources allocation. Cycle accurate simulation results showed that even in presence of low-medium input sparseness levels the proposed algorithm can reduce the computation time of at least a 20% factor, when compared to traditional FFT algorithms and, at the same time, decreases the memory utilization up to a 20% factor over state of the art pruning algorithms.
  • Keywords
    OFDM modulation; fast Fourier transforms; resource allocation; sparse matrices; storage management; FFT algorithm complexity; FFT pruning algorithm; NC-OFDM systems; configuration matrix; data memory; high resources utilization; low-medium input sparseness; memory performance; memory requirements; memory utilization; noncontiguous OFDM systems; partial pruning algorithm; resources allocation; state-of-the-art implementations; subcarrier sparseness; Algorithm design and analysis; Communication systems; Complexity theory; Embedded systems; Memory management; OFDM; Reduced instruction set computing; Cognitive radios; FFT; FFT-pruning; NC-OFDM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design and Architectures for Signal and Image Processing (DASIP), 2011 Conference on
  • Conference_Location
    Tampere
  • Print_ISBN
    978-1-4577-0620-2
  • Electronic_ISBN
    978-1-4577-0619-6
  • Type

    conf

  • DOI
    10.1109/DASIP.2011.6136869
  • Filename
    6136869