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
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