• DocumentCode
    491997
  • Title

    Scaled SLM for PAPR reduction of OFDM signal in impulsive noise channel

  • Author

    Lee, Jea Sun ; Kim, Jin Young

  • Author_Institution
    Dept. of Wireless Commun. Eng., Kwangwoon Univ., Seoul
  • Volume
    01
  • fYear
    2009
  • fDate
    15-18 Feb. 2009
  • Firstpage
    483
  • Lastpage
    486
  • Abstract
    Orthogonal frequency division multiplexing (OFDM) modulation using orthogonal subcarriers reduces the delay spread by increasing robustness to multipath fading and can use overlapped bandwidth due to orthogonality on frequency domain. Thus, OFDM has been adopted for high speed data transmission of multimedia traffic. However, OFDM also has a drawback of a high peak-to-average-power-ratio (PAPR). This high PAPR takes place due to parallel processing of a number of data at once using a fast Fourier transform (FFT) processor. Due to this high PAPR amplifier usually does not act in dynamic range. In this paper, we propose an algorithm that can reduce PAPR using selective mapping (SLM) in impulsive noise channel. In order to utilize SLM technique, side information needs to be transmitted for demodulation while degrading transmission efficiency. We propose and analyze scaled SLM technique which removes necessity of the side information.
  • Keywords
    OFDM modulation; fading channels; multimedia communication; multipath channels; telecommunication traffic; OFDM signal; fast Fourier transform; high speed data transmission; impulsive noise channel; multimedia traffic; multipath fading; orthogonal frequency division multiplexing; orthogonal subcarriers; peak-to- average-power-ratio; selective mapping; Bandwidth; Data communication; Delay; Fading; Frequency domain analysis; Noise reduction; Noise robustness; OFDM modulation; Parallel processing; Peak to average power ratio; OFDM; PAPR; SLM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on
  • Conference_Location
    Phoenix Park
  • ISSN
    1738-9445
  • Print_ISBN
    978-89-5519-138-7
  • Electronic_ISBN
    1738-9445
  • Type

    conf

  • Filename
    4810000