Channel power pre-equalization method in heterogeneous multi-band transmission networks [Invited]

To reduce the effect of inter-channel stimulated Raman scattering in multi-band transmission, we propose a method to pre-equalize the input power to a transmission line solely on the basis of basic optical fiber parameters and the number of accommodated wavelengths in multi-band transmission using two wavelength bands. This proposed method was applied to an optical fiber transmission line installed in a field environment. After four spans of transmission using a cutoff shifted fiber (G.654.E), the signal quality (Q value) was 1.9 dB higher than when the method was not applied.

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Publication Details

Journal
Journal of Optical Communications and Networking
Published
2025-09-26
DOI
https://doi.org/10.1364/jocn.572028
Primary Topic
Telecommunications and Broadcasting Technologies
Type
article
Field-Weighted Citation Impact
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article

Channel power pre-equalization method in heterogeneous multi-band transmission networks [Invited]

Takeshi Seki, Haruka Minami, Takeshi Kuwahara, Rie Hayashi
Journal of Optical Communications and Networking
Telecommunications and Broadcasting Technologies
article

Channel power pre-equalization method in heterogeneous multi-band transmission networks [Invited]

Takeshi Seki, Haruka Minami, Takeshi Kuwahara, Rie Hayashi
article en

Abstract

To reduce the effect of inter-channel stimulated Raman scattering in multi-band transmission, we propose a method to pre-equalize the input power to a transmission line solely on the basis of basic optical fiber parameters and the number of accommodated wavelengths in multi-band transmission using two wavelength bands. This proposed method was applied to an optical fiber transmission line installed in a field environment. After four spans of transmission using a cutoff shifted fiber (G.654.E), the signal quality (Q value) was 1.9 dB higher than when the method was not applied.

Journal of Optical Communications and NetworkingVol. 18(1)
Openalex Percentile: Top 61%
Telecommunications and Broadcasting Technologies
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