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Reduction of the PAPR in OFDM Systems by Intelligently Applying Both PTS and SLM Algorithms

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Abstract

The orthogonal frequency division multiplex (OFDM) technique, which is used in the 4G communications, has a shortcoming of having a high peak to average power ratio (PAPR), and thus a lot of research has been conducted to reduce the PAPR in OFDM systems. The typical algorithms in this research area are the multi-time clipping algorithm, the \(\mu \)-law compression algorithm, SLM algorithm, PTS algorithm, and Golay complement sequence algorithm. It is found in this paper that the SLM and PTS algorithms have good performance in reducing the PAPR while having less information overhead than the Golay complement sequence algorithm, less distortion than the \({\mu }\)-law compression algorithm, and less BER than the clipping algorithm. Thus, a new PAPR reduction algorithm is proposed, which tries to intelligently apply both PTS and SLM algorithm, while utilizing their complementary advantages and avoiding their disadvantages. According to simulation results, the performance of the proposed algorithm has much better performance in reducing the PAPR than the SLM and PTS algorithms, with comparable computational complexity, BER performance, and information overhead.

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Acknowledgments

The authors of this paper would like to thank the Natural Science Foundation of the Zhejiang Province (project number: Y1110510), and Natural Science Foundation of China (project number: 11026226, and 40805048). The authors would also like to express their acknowledgment for the reviewers of this paper. Their useful suggestions help to improve the quality of this paper.

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  1. School of Mathematics, Physics, and Information Engineering, Zhejiang Normal University, Jin Hua, 321004, Zhejiang, People’s Republic of China

    Chunjiang Duanmu & Hongtao Chen

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  1. Chunjiang Duanmu
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  2. Hongtao Chen
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Correspondence to Chunjiang Duanmu.

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Duanmu, C., Chen, H. Reduction of the PAPR in OFDM Systems by Intelligently Applying Both PTS and SLM Algorithms. Wireless Pers Commun 74, 849–863 (2014). https://doi.org/10.1007/s11277-013-1325-3

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  • DOI: https://doi.org/10.1007/s11277-013-1325-3

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