Constellation shaping for non-uniform signals based on truncated Gaussian distribution

Gou Hosoya, Hiroyuki Yashima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We study the signal shaping based on the truncated Gaussian distribution. Since the possibility of reducing peak-to-average power ratio (PAPR) by the previous study with clipped Gaussian signal constellation is limited, we study PAPR reduction for one-dimensional signal constellation using the truncated Gaussian distribution. From the numerical results, we show that achievable rate of the truncated Gaussian distribution is larger than that of the clipped Gaussian signal constellation for wide range of SNR, while keeping the expansion of PAPR small. Moreover it is quite close to the uniform signal constellation for high SNR.

Original languageEnglish
Title of host publicationProceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages557-561
Number of pages5
ISBN (Electronic)9784885523090
Publication statusPublished - 2017 Feb 2
Externally publishedYes
Event3rd International Symposium on Information Theory and Its Applications, ISITA 2016 - Monterey, United States
Duration: 2016 Oct 302016 Nov 2

Publication series

NameProceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016

Other

Other3rd International Symposium on Information Theory and Its Applications, ISITA 2016
CountryUnited States
CityMonterey
Period16/10/3016/11/2

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Signal Processing
  • Library and Information Sciences

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  • Cite this

    Hosoya, G., & Yashima, H. (2017). Constellation shaping for non-uniform signals based on truncated Gaussian distribution. In Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016 (pp. 557-561). [7840486] (Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016). Institute of Electrical and Electronics Engineers Inc..