Optimization of cascaded regenerative links based on phase sensitive amplifiers

Area of Science:

• Optical Communications
• Signal Processing

Background:

• Multilevel phase encoded transmission systems are crucial for high-capacity optical networks.
• Phase sensitive amplifiers (PSAs) are key components for signal regeneration in these systems.
• Optimizing PSA performance is essential for maintaining signal integrity.

Purpose of the Study:

• To develop an analytical method for optimizing PSAs in multilevel phase encoded transmission.
• To predict optimal transfer function characteristics and operating tolerances.
• To demonstrate the general applicability of the optimization model.

Main Methods:

• Development of a predictive analytical model for PSA optimization.
• Analysis of transfer function characteristics and operating tolerances.
• Evaluation across different signal constellations and transmission scenarios.

Main Results:

• The model accurately predicts optimal transfer function characteristics.
• Operating tolerances were identified for various signal constellations and scenarios.
• Simultaneous optimization of transfer function and signal alphabet significantly enhances performance.

Conclusions:

• The developed analytical method provides a scalable approach for PSA optimization.
• The model is applicable to any regenerative system, offering broad utility.
• Optimized PSAs are vital for efficient signal regeneration in advanced optical transmission.