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PAPR Reduction Based on Genetic Algorithm for PTS Wavelet-OFDM Systems

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Published:21 January 2020Publication History

ABSTRACT

One of the most attractive candidate waveforms used in 5G systems is based the orthogonal frequency division multiplexing (OFDM) technology for its robustness against frequency selective fading and its high spectral efficiency. However, it suffers from high peak-to-average power ratio (PAPR) drawback. The partial transmit sequence (PTS) approach is used for reducing the PAPR of the wavelet-OFDM (WOFDM) system without signal distortion. In this paper, a modified PAPR reduction approach using a PTS-WOFDM based on genetic algorithm (GA) is proposed. The simulation results show that the proposed system provides PAPR reduction gain of 0.11 dB and 0.46 dB compared to optimum PTS-OFDM and PTS-OFDM based GA systems respectively. Also, the search complexity of the proposed GA based PTS-WOFDM system is significantly reduced by 97.25% compared to the optimum PTS-OFDM.

References

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      cover image ACM Other conferences
      ICAAI '19: Proceedings of the 3rd International Conference on Advances in Artificial Intelligence
      October 2019
      253 pages
      ISBN:9781450372534
      DOI:10.1145/3369114

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      Publication History

      • Published: 21 January 2020

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