DocumentCode
3417511
Title
Distribution of envelope power using selected mapping in OFDM systems with nonlinearity
Author
Bae, Kitaek ; Powers, Edward J.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
3065
Lastpage
3068
Abstract
Selected mapping (SLM) techniques have been used to reduce the high peak-to-average power ratio (PAR) in orthogonal frequency division multiplexing (OFDM) systems. The capacity of PAR reduction can be increased by improving the PAR statistics at the cost of complexity of the OFDM transmitter. However, it is difficult to clarify the performance degradation in the presence of nonlinearities, such as a power amplifier (PA), with the PAR metric because the statistical distribution of PAR focuses only on the highest peak, even though PAR reduction can help to reduce the required PA backoff. The nonlinear distortion is related to the amount of signal greater than the saturated threshold value; therefore, it is desirable to know the envelope power distribution. In this paper, we derive a closed form expression for the envelope power distribution in SLM/OFDM systems with nonlinearity, and verify the derived expression with simulation results.
Keywords
OFDM modulation; nonlinear distortion; statistical analysis; OFDM systems; PAR reduction; envelope power distribution; nonlinear distortion; orthogonal frequency division multiplexing; peak-to-average power ratio reduction; selected mapping techniques; statistical distribution; Costs; Degradation; Distributed amplifiers; High power amplifiers; Nonlinear distortion; OFDM; Peak to average power ratio; Power distribution; Statistical distributions; Transmitters; Orthogonal frequency division multiplexing (OFDM); envelope power; nonlinearity; peak-to-average ratio (PAR); selected mapping (SLM);
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4518297
Filename
4518297
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