Par reduction in OFDM through convex programming

The high peak-to-average power ratio (PAR) encountered in OFDM system has been a major obstacle in the implementation of power efficient transmitter. In this paper, we present a new active constellation extension (ACE) based convex optimization algorithm which reduces PAR through convex programming....

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Bibliographic Details
Published in2008 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 3597 - 3600
Main Authors Chao Wang, Shu Hung Leung
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2008
Subjects
Bit error rate
Chaos
Computational complexity
Constraint optimization
Frequency domain analysis
Iterative algorithms
iterative methods
Newton method
OFDM modulation
optimization methods
Peak to average power ratio
power control
Power engineering and energy
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ISBN9781424414833
1424414830
ISSN1520-6149
DOI10.1109/ICASSP.2008.4518430

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Summary:The high peak-to-average power ratio (PAR) encountered in OFDM system has been a major obstacle in the implementation of power efficient transmitter. In this paper, we present a new active constellation extension (ACE) based convex optimization algorithm which reduces PAR through convex programming. In comparison with previous convex programming method, our method greatly reduces the complexity and keeps the bit-error-rate (BER) performance. Moreover, our method can be combined with other clipping based ACE algorithms to further reduce the complexity with a slight performance degradation. Simulation results are given in this paper which show our method outperforms other ACE-based algorithms.
ISBN:9781424414833
1424414830
ISSN:1520-6149
DOI:10.1109/ICASSP.2008.4518430