Investigation of Nonlinear Communication Channel with Small Dispersion via Stochastic Correlator Approach

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Investigation of Nonlinear Communication Channel with Small Dispersion via Stochastic Correlator Approach. / Reznichenko, A. V.; Terekhov, I. S.

In: Journal of Physics: Conference Series, Vol. 1206, No. 1, 012013, 17.04.2019.

Research output: Contribution to journal › Conference article › peer-review

BibTeX

@article{3ed9d6f7f8444f388cc0d150b02186d3,

title = "Investigation of Nonlinear Communication Channel with Small Dispersion via Stochastic Correlator Approach",

abstract = "We consider the optical fiber channel modelled by the nonlinear Schr{\"o}dinger equation with additive white Gaussian noise and with large signal-to-noise ratio. For the small dispersion case we present the approach to analyze the stochastic nonlinear Schr{\"o}dinger equation. Taking into account the averaging procedure (frequency filtering) of the output signal detector we find the first corrections in small dispersion parameter to the correlators of the input signal recovered by the backward propagation. These correlators are the important ingredients for the calculation of the channel capacity and the optimal input signal distribution. We assert that the information channel characteristics essentially depend on the procedures of the output signal filtering and the recovery of the transmitted signal.",

author = "Reznichenko, {A. V.} and Terekhov, {I. S.}",

year = "2019",

month = apr,

day = "17",

doi = "10.1088/1742-6596/1206/1/012013",

language = "English",

volume = "1206",

journal = "Journal of Physics: Conference Series",

issn = "1742-6588",

publisher = "IOP Publishing Ltd.",

number = "1",

note = "27th Annual International Laser Physics Workshop, LPHYS 2018 ; Conference date: 16-07-2018 Through 18-07-2018",

}

RIS

TY - JOUR

T1 - Investigation of Nonlinear Communication Channel with Small Dispersion via Stochastic Correlator Approach

AU - Reznichenko, A. V.

AU - Terekhov, I. S.

PY - 2019/4/17

Y1 - 2019/4/17

N2 - We consider the optical fiber channel modelled by the nonlinear Schrödinger equation with additive white Gaussian noise and with large signal-to-noise ratio. For the small dispersion case we present the approach to analyze the stochastic nonlinear Schrödinger equation. Taking into account the averaging procedure (frequency filtering) of the output signal detector we find the first corrections in small dispersion parameter to the correlators of the input signal recovered by the backward propagation. These correlators are the important ingredients for the calculation of the channel capacity and the optimal input signal distribution. We assert that the information channel characteristics essentially depend on the procedures of the output signal filtering and the recovery of the transmitted signal.

AB - We consider the optical fiber channel modelled by the nonlinear Schrödinger equation with additive white Gaussian noise and with large signal-to-noise ratio. For the small dispersion case we present the approach to analyze the stochastic nonlinear Schrödinger equation. Taking into account the averaging procedure (frequency filtering) of the output signal detector we find the first corrections in small dispersion parameter to the correlators of the input signal recovered by the backward propagation. These correlators are the important ingredients for the calculation of the channel capacity and the optimal input signal distribution. We assert that the information channel characteristics essentially depend on the procedures of the output signal filtering and the recovery of the transmitted signal.

UR - http://www.scopus.com/inward/record.url?scp=85065566649&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1206/1/012013

DO - 10.1088/1742-6596/1206/1/012013

M3 - Conference article

AN - SCOPUS:85065566649

VL - 1206

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012013

T2 - 27th Annual International Laser Physics Workshop, LPHYS 2018

Y2 - 16 July 2018 through 18 July 2018

ER -

ID: 20042283