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A Novel Constellation Shaping Method to Reduce PAPR for Rate Compatible Modulation

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Machine Learning and Intelligent Communications (MLICOM 2016)

Abstract

Although rate compatible modulation (RCM) achieves continuous and efficient spectrum efficiency, it has high peak to average power ratio (PAPR) because that its modulation constellation is a dense rectangular. To reduce PAPR of RCM, this paper proposes a novel constellation shaping method, namely transform from rectangular to circle (TR2C), which different to the traditional constellation shaping methods. The TR2C approach compress the points, that with higher amplitude and lower probability, into a circle, such that it can reduce the PAPR of shaping constellation. Furthermore, to deal with the problem of AWGN noise amplification in inverse transform of TR2C, we give out the geometrical method of estimating noise variance. Simulations show that, comparing with original constellation, TR2C scheme can achieve 1 dB performance gain at BER = \(10^{-5}\) by improving the transmission power with 1.8 dB. And TR2C achieves the capacity performance close to original constellation when SRN from 5 dB to 30 dB.

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Acknowledgment

The authors would like to thank the anonymous reviewers. This work was supported in part by the Nature Science Foundation of China (No. 61305052), the NSF of Jiangxi province of China (No. 20142BAB217007), the Science and Technology Plan Funding of Jiangxi province of China (No. 20151102040042), and Science and Technology Projects of education bureau of Jiangxi province of China (No. GJJ150984, No. GJJ151001).

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Correspondence to Qin Zou .

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, M., Zou, Q., Tu, X. (2017). A Novel Constellation Shaping Method to Reduce PAPR for Rate Compatible Modulation. In: Xin-lin, H. (eds) Machine Learning and Intelligent Communications. MLICOM 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-319-52730-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-52730-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52729-1

  • Online ISBN: 978-3-319-52730-7

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