Optimization strategy of power control for C+L+S band transmission using a simulated annealing algorithm

Area of Science:

• Optical Communications
• Signal Processing
• Computational Optimization

Background:

• Ultra-wideband wavelength-division multiplexing (UWB WDM) systems aim to increase transmission capacity by expanding the spectral range.
• Inter-channel stimulated Raman scattering (ISRS) in wideband scenarios causes power transfer from high-frequency to low-frequency channels, degrading signal quality (Q-factor).

Purpose of the Study:

• To develop an optimized power control method for UWB WDM systems to mitigate ISRS effects.
• To enhance transmission capacity and spectral flatness in UWB WDM systems.

Main Methods:

• Modified power control optimization using the simulated annealing (SA) algorithm.
• Searching for optimal power slopes and offsets across three bands (C+L+S) for 384 channels.
• Consideration of dynamic Raman gain and channel-dependent parameters.

Main Results:

• The SA algorithm achieved comparable or higher transmission capacity than brute-force searching (BFS).
• SA demonstrated significantly faster searching speeds compared to BFS.
• The method allows for selecting strategies to balance transmission capacity and spectral flatness.

Conclusions:

• The proposed SA-based power optimization effectively manages ISRS in UWB WDM systems.
• This approach enables high transmission capacity with improved signal quality.
• The method is applicable for designing UWB WDM systems prior to experimental testing.