Analytical SNR Prediction in Long-Haul Optical Transmission using General Dual-Polarization 4D Formats
Zhiwei Liang, Bin Chen, Yi Lei, Gabriele Liga, Alex Alvarado
TL;DR
This paper enhances the prediction accuracy of the effective signal-to-noise ratio in long-haul optical transmission by incorporating signal-noise interactions into nonlinear interference models for dual-polarization 4D modulation.
Contribution
It introduces a method that includes signal-noise terms in nonlinear interference models, improving SNR prediction accuracy in DP-4D optical systems.
Findings
Including signal-noise terms improves SNR prediction by up to 0.2 dB.
The model better captures nonlinear effects in long-distance transmission.
Enhanced prediction accuracy aids in system design and optimization.
Abstract
Nonlinear interference models for dual-polarization 4D (DP-4D) modulation have only been used so far to predict signal-signal nonlinear interference. We show that including the signal-noise term in the prediction of the effective signal-to-noise ratio in long distance DP-4D transmission improves the accuracy by up to 0.2 dB.
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Taxonomy
TopicsOptical Network Technologies · Advanced Photonic Communication Systems · Photonic and Optical Devices