Low-complexity weighted regular perturbation model-based symbol rate power profile estimation

Area of Science:

• Optical Communications
• Signal Processing
• Nonlinear Optics

Background:

• Accurate power profile estimation (PPE) is crucial for optimizing optical fiber communication systems.
• Existing methods often require high computational complexity, hindering practical deployment.
• Inter-symbol nonlinearity significantly impacts signal propagation in high-speed systems.

Purpose of the Study:

• To propose a low-complexity, symbol-rate fiber longitudinal power profile estimation (PPE) method.
• To address the computational demands of existing waveform-level PPE techniques.
• To enhance the practical implementation of PPE in optical networks.

Main Methods:

• Development of the weighted first-order regular perturbation model (WRP1).
• Incorporation of inter-symbol nonlinearity into the nonlinear operator.
• Evaluation in a 130 GBaud DP-16QAM 3-span × 50 km numerical transmission system.

Main Results:

• The WRP1-based PPE achieved a mean absolute error (MAE) of 0.56 dB across all positions and 0.02 dB MAE at EDFA positions.
• Accuracy comparable to waveform-level PPE using oversampled data.
• Over 52% reduction in computational complexity compared to waveform-level PPE.

Conclusions:

• The WRP1-based PPE offers a low-complexity and accurate solution for fiber power estimation.
• The method is robust across various transmission scenarios, including distance, modulation, and power variations.
• This advancement facilitates the practical implementation of efficient PPE technology in optical systems.