Standard

Channel capacity and simple correlators for nonlinear communication channel at large SNR and small dispersion. / Reznichenko, Aleksey V.; Terekhov, Ivan S.

2017 IEEE Information Theory Workshop, ITW 2017. Том 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. стр. 186-190 (IEEE International Symposium on Information Theory - Proceedings; Том 2018-January).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Reznichenko, AV & Terekhov, IS 2018, Channel capacity and simple correlators for nonlinear communication channel at large SNR and small dispersion. в 2017 IEEE Information Theory Workshop, ITW 2017. Том. 2018-January, IEEE International Symposium on Information Theory - Proceedings, Том. 2018-January, Institute of Electrical and Electronics Engineers Inc., стр. 186-190, 2017 IEEE Information Theory Workshop, ITW 2017, Kaohsiung, Китайская Провинция Тайвань, 06.11.2017. https://doi.org/10.1109/ITW.2017.8277950

APA

Reznichenko, A. V., & Terekhov, I. S. (2018). Channel capacity and simple correlators for nonlinear communication channel at large SNR and small dispersion. в 2017 IEEE Information Theory Workshop, ITW 2017 (Том 2018-January, стр. 186-190). (IEEE International Symposium on Information Theory - Proceedings; Том 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITW.2017.8277950

Vancouver

Reznichenko AV, Terekhov IS. Channel capacity and simple correlators for nonlinear communication channel at large SNR and small dispersion. в 2017 IEEE Information Theory Workshop, ITW 2017. Том 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. стр. 186-190. (IEEE International Symposium on Information Theory - Proceedings). doi: 10.1109/ITW.2017.8277950

Author

Reznichenko, Aleksey V. ; Terekhov, Ivan S. / Channel capacity and simple correlators for nonlinear communication channel at large SNR and small dispersion. 2017 IEEE Information Theory Workshop, ITW 2017. Том 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. стр. 186-190 (IEEE International Symposium on Information Theory - Proceedings).

BibTeX

@inproceedings{ea19a7ce4091428889db0c831e5d15d0,
title = "Channel capacity and simple correlators for nonlinear communication channel at large SNR and small dispersion",
abstract = "We consider the optical fiber channel modelled by the nonlinear Schrodinger equation with additive white Gaussian noise. Using Feynman path-integral approach for the model with small dispersion we find the estimations for the first nonzero corrections to the conditional probability density function, to the optimal input signal distribution, and to the channel capacity at large signal-to-noise ratio. On the base of the factorization assumption of the conditional probability density function we demonstrate that the correction to the channel capacity in small dimensionless dispersion parameter is quadratic and positive therefore increasing the earlier calculated capacity for a nondispersive nonlinear optical fiber channel in the intermediate power regime. To illustrate our approach we also find the analytical expressions for simple correlators of the output signal in our noisy channel with small dispersion.",
author = "Reznichenko, {Aleksey V.} and Terekhov, {Ivan S.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Information Theory Workshop, ITW 2017 ; Conference date: 06-11-2017 Through 10-11-2017",
year = "2018",
month = jan,
day = "31",
doi = "10.1109/ITW.2017.8277950",
language = "English",
isbn = "9781509030972",
volume = "2018-January",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "186--190",
booktitle = "2017 IEEE Information Theory Workshop, ITW 2017",
address = "United States",

}

RIS

TY - GEN

T1 - Channel capacity and simple correlators for nonlinear communication channel at large SNR and small dispersion

AU - Reznichenko, Aleksey V.

AU - Terekhov, Ivan S.

N1 - Publisher Copyright: © 2017 IEEE.

PY - 2018/1/31

Y1 - 2018/1/31

N2 - We consider the optical fiber channel modelled by the nonlinear Schrodinger equation with additive white Gaussian noise. Using Feynman path-integral approach for the model with small dispersion we find the estimations for the first nonzero corrections to the conditional probability density function, to the optimal input signal distribution, and to the channel capacity at large signal-to-noise ratio. On the base of the factorization assumption of the conditional probability density function we demonstrate that the correction to the channel capacity in small dimensionless dispersion parameter is quadratic and positive therefore increasing the earlier calculated capacity for a nondispersive nonlinear optical fiber channel in the intermediate power regime. To illustrate our approach we also find the analytical expressions for simple correlators of the output signal in our noisy channel with small dispersion.

AB - We consider the optical fiber channel modelled by the nonlinear Schrodinger equation with additive white Gaussian noise. Using Feynman path-integral approach for the model with small dispersion we find the estimations for the first nonzero corrections to the conditional probability density function, to the optimal input signal distribution, and to the channel capacity at large signal-to-noise ratio. On the base of the factorization assumption of the conditional probability density function we demonstrate that the correction to the channel capacity in small dimensionless dispersion parameter is quadratic and positive therefore increasing the earlier calculated capacity for a nondispersive nonlinear optical fiber channel in the intermediate power regime. To illustrate our approach we also find the analytical expressions for simple correlators of the output signal in our noisy channel with small dispersion.

UR - http://www.scopus.com/inward/record.url?scp=85046375122&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/a95cf1a5-449a-39da-9ddd-0d4d498ee084/

U2 - 10.1109/ITW.2017.8277950

DO - 10.1109/ITW.2017.8277950

M3 - Conference contribution

AN - SCOPUS:85046375122

SN - 9781509030972

VL - 2018-January

T3 - IEEE International Symposium on Information Theory - Proceedings

SP - 186

EP - 190

BT - 2017 IEEE Information Theory Workshop, ITW 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE Information Theory Workshop, ITW 2017

Y2 - 6 November 2017 through 10 November 2017

ER -

ID: 13072196