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Compensation for Nonlinear Distortions in Optical Communication Systems Using Perturbation Theory and Multiparameter Optimization. / Redyuk, A. A.; Shevelev, E. I.; Danilko, V. R. et al.

In: Bulletin of the Lebedev Physics Institute, Vol. 51, No. Suppl 6, 11.2024, p. S449-S457.

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Redyuk AA, Shevelev EI, Danilko VR, Fedoruk MP. Compensation for Nonlinear Distortions in Optical Communication Systems Using Perturbation Theory and Multiparameter Optimization. Bulletin of the Lebedev Physics Institute. 2024 Nov;51(Suppl 6):S449-S457. doi: 10.3103/S1068335624601602

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Redyuk, A. A. ; Shevelev, E. I. ; Danilko, V. R. et al. / Compensation for Nonlinear Distortions in Optical Communication Systems Using Perturbation Theory and Multiparameter Optimization. In: Bulletin of the Lebedev Physics Institute. 2024 ; Vol. 51, No. Suppl 6. pp. S449-S457.

BibTeX

@article{6e54e94960d042bf9331a0217c410d63,
title = "Compensation for Nonlinear Distortions in Optical Communication Systems Using Perturbation Theory and Multiparameter Optimization",
abstract = "Abstract: Nonlinear signal distortions are one of the main reasons limiting the throughput and length of modern fiber-optic communication lines. One of the developed approaches to nonlinear distortion compensation is based on the application of perturbation theory methods to the nonlinear Schr{\"o}dinger equation, and allows one to obtain a relationship between transmitted and received symbols. Gradient methods that minimize the standard deviation between symbols are usually used to find the perturbation coefficients. However, the main parameter characterizing the data transmission quality is the bit error rate. We propose a modification of this approach in the form of a two-stage scheme for calculating the perturbation coefficients. At the first stage, the coefficients are calculated using the least squares method by minimizing the standard deviation, and at the second stage, the obtained solution is used as an initial approximation to minimize the error coefficient using the particle swarm method. In a numerical experiment, using the algorithm for compensating for received signal distortions based on the proposed scheme, a 0.9 dB gain in the signal-to-noise ratio is obtained for a multi-span line 20 × 100 km long and a 16QAM signal with a channel rate of 267 Gbit/s. An improvement in the accuracy of the algorithm (compared to a single-stage scheme) is shown, estimates of the computational complexity of the algorithm are obtained, and the relationship between its complexity and accuracy is presented.",
keywords = "algorithm, bit error rate, compensation for nonlinear distortions, digital signal processing, fiber-optic communication lines, least squares method, nonlinear signal distortions, nonlinearity, particle swarm optimization, perturbation theory",
author = "Redyuk, {A. A.} and Shevelev, {E. I.} and Danilko, {V. R.} and Fedoruk, {M. P.}",
note = "The study was supported by a grant provided to Novosibirsk State University for the implementation of the strategic academic leadership program \u201CPriority-2030.\u201D The work of M.P. Fedoruk was supported by the Russian Science Foundation (grant no. 20-11-20040).",
year = "2024",
month = nov,
doi = "10.3103/S1068335624601602",
language = "русский",
volume = "51",
pages = "S449--S457",
journal = "Bulletin of the Lebedev Physics Institute",
issn = "1068-3356",
publisher = "Springer Science + Business Media",
number = "Suppl 6",

}

RIS

TY - JOUR

T1 - Compensation for Nonlinear Distortions in Optical Communication Systems Using Perturbation Theory and Multiparameter Optimization

AU - Redyuk, A. A.

AU - Shevelev, E. I.

AU - Danilko, V. R.

AU - Fedoruk, M. P.

N1 - The study was supported by a grant provided to Novosibirsk State University for the implementation of the strategic academic leadership program \u201CPriority-2030.\u201D The work of M.P. Fedoruk was supported by the Russian Science Foundation (grant no. 20-11-20040).

PY - 2024/11

Y1 - 2024/11

N2 - Abstract: Nonlinear signal distortions are one of the main reasons limiting the throughput and length of modern fiber-optic communication lines. One of the developed approaches to nonlinear distortion compensation is based on the application of perturbation theory methods to the nonlinear Schrödinger equation, and allows one to obtain a relationship between transmitted and received symbols. Gradient methods that minimize the standard deviation between symbols are usually used to find the perturbation coefficients. However, the main parameter characterizing the data transmission quality is the bit error rate. We propose a modification of this approach in the form of a two-stage scheme for calculating the perturbation coefficients. At the first stage, the coefficients are calculated using the least squares method by minimizing the standard deviation, and at the second stage, the obtained solution is used as an initial approximation to minimize the error coefficient using the particle swarm method. In a numerical experiment, using the algorithm for compensating for received signal distortions based on the proposed scheme, a 0.9 dB gain in the signal-to-noise ratio is obtained for a multi-span line 20 × 100 km long and a 16QAM signal with a channel rate of 267 Gbit/s. An improvement in the accuracy of the algorithm (compared to a single-stage scheme) is shown, estimates of the computational complexity of the algorithm are obtained, and the relationship between its complexity and accuracy is presented.

AB - Abstract: Nonlinear signal distortions are one of the main reasons limiting the throughput and length of modern fiber-optic communication lines. One of the developed approaches to nonlinear distortion compensation is based on the application of perturbation theory methods to the nonlinear Schrödinger equation, and allows one to obtain a relationship between transmitted and received symbols. Gradient methods that minimize the standard deviation between symbols are usually used to find the perturbation coefficients. However, the main parameter characterizing the data transmission quality is the bit error rate. We propose a modification of this approach in the form of a two-stage scheme for calculating the perturbation coefficients. At the first stage, the coefficients are calculated using the least squares method by minimizing the standard deviation, and at the second stage, the obtained solution is used as an initial approximation to minimize the error coefficient using the particle swarm method. In a numerical experiment, using the algorithm for compensating for received signal distortions based on the proposed scheme, a 0.9 dB gain in the signal-to-noise ratio is obtained for a multi-span line 20 × 100 km long and a 16QAM signal with a channel rate of 267 Gbit/s. An improvement in the accuracy of the algorithm (compared to a single-stage scheme) is shown, estimates of the computational complexity of the algorithm are obtained, and the relationship between its complexity and accuracy is presented.

KW - algorithm

KW - bit error rate

KW - compensation for nonlinear distortions

KW - digital signal processing

KW - fiber-optic communication lines

KW - least squares method

KW - nonlinear signal distortions

KW - nonlinearity

KW - particle swarm optimization

KW - perturbation theory

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85208704623&origin=inward&txGid=75e0d3e85870024801839b75b0f056a4

UR - https://www.mendeley.com/catalogue/30e34432-2bac-329e-9468-9f11b3bf7a73/

U2 - 10.3103/S1068335624601602

DO - 10.3103/S1068335624601602

M3 - статья

VL - 51

SP - S449-S457

JO - Bulletin of the Lebedev Physics Institute

JF - Bulletin of the Lebedev Physics Institute

SN - 1068-3356

IS - Suppl 6

ER -

ID: 61105510