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

Gou Hosoya; Hiroyuki Yashima

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

Gou Hosoya, Hiroyuki Yashima

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	557-561
Number of pages	5
ISBN (Electronic)	9784885523090
Publication status	Published - 2017 Feb 2
Externally published	Yes
Event	3rd International Symposium on Information Theory and Its Applications, ISITA 2016 - Monterey, United States Duration: 2016 Oct 30 → 2016 Nov 2

Publication series

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

Other

Other	3rd International Symposium on Information Theory and Its Applications, ISITA 2016
Country/Territory	United States
City	Monterey
Period	16/10/30 → 16/11/2

ASJC Scopus subject areas

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

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..

Constellation shaping for non-uniform signals based on truncated Gaussian distribution. / Hosoya, Gou; Yashima, Hiroyuki.

Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 557-561 7840486 (Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 7840486, Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016, Institute of Electrical and Electronics Engineers Inc., pp. 557-561, 3rd International Symposium on Information Theory and Its Applications, ISITA 2016, Monterey, United States, 16/10/30.

Hosoya G, Yashima H. 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. Institute of Electrical and Electronics Engineers Inc. 2017. p. 557-561. 7840486. (Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016).

Hosoya, Gou ; Yashima, Hiroyuki. / Constellation shaping for non-uniform signals based on truncated Gaussian distribution. Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 557-561 (Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016).

@inproceedings{93b3a334607e4bbfa50673a463a003c4,

title = "Constellation shaping for non-uniform signals based on truncated Gaussian distribution",

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.",

author = "Gou Hosoya and Hiroyuki Yashima",

year = "2017",

month = feb,

day = "2",

language = "English",

series = "Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "557--561",

booktitle = "Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016",

note = "3rd International Symposium on Information Theory and Its Applications, ISITA 2016 ; Conference date: 30-10-2016 Through 02-11-2016",

}

TY - GEN

T1 - Constellation shaping for non-uniform signals based on truncated Gaussian distribution

AU - Hosoya, Gou

AU - Yashima, Hiroyuki

PY - 2017/2/2

Y1 - 2017/2/2

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85015229437&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85015229437&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85015229437

T3 - Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016

SP - 557

EP - 561

BT - Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Symposium on Information Theory and Its Applications, ISITA 2016

Y2 - 30 October 2016 through 2 November 2016

ER -

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

Abstract

Publication series

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this