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Time-domain models for the performance simulation of semiconductor optical amplifiers.

Jongwoon Park, Yoichi Kawakami

|June 12, 2009

Summary

This study compares two simulation models for semiconductor optical amplifiers (SOAs). The spectrum slicing model (SSM) excels at broadband behavior, while effective Bloch equations (EBEs) handle nonlinear effects, with both accurately predicting SOA gain and noise.

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Area of Science:

Optoelectronics
Optical Engineering
Computational Physics

Background:

Semiconductor optical amplifiers (SOAs) are crucial components in optical communication systems.
Accurate modeling of SOAs is essential for system design and performance prediction.
Existing time-domain models differ in their handling of material dispersion, impacting their applicability.

Purpose of the Study:

To implement and compare two complementary time-domain models for SOA simulation: Spectrum Slicing Model (SSM) and Effective Bloch Equations (EBEs).
To analyze the strengths and limitations of each model, particularly concerning material dispersion and nonlinear effects.
To validate the models by comparing their predictions for key SOA characteristics.

Main Methods:

Implementation of two time-domain models: SSM and EBEs.
Simulation of SOA behavior, focusing on material (gain and refractive index) dispersion.
Direct comparison of model outputs for fiber-to-fiber gain, noise, and crosstalk.
Analysis of nonlinear effects like intermodulation distortion and broadband behavior.

Main Results:

The SSM is suitable for simulating broadband SOA behaviors but less effective for nonlinear effects like intermodulation distortion.
The EBE model explicitly incorporates material dispersion for nonlinear effects but does not capture broadband behaviors.
Both models accurately predict SOA characteristics such as fiber-to-fiber gain, noise, and crosstalk.
A generally good agreement was observed between the two models.

Conclusions:

The choice between SSM and EBE models depends on the specific simulation requirements (broadband vs. nonlinear effects).
Both models provide valuable insights into SOA performance, with complementary strengths.
Further discussion on implementation details and model-specific features is provided.