Improved Physics-based Raman Amplifier Model in C+L Networks through Input Parameter Refinement
Abstract
We propose a n input parameter refinement scheme for the physics-based Raman amplifier model. Experiments over C+L band are conducted. Results show the scheme can lower the physical model's maximum estimation error by 2.13 dB.
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