Optical Channel Power Adjustment via Predicted Gain Models
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Solution Overview
Problem
Optical telecommunication networks face challenges in reconfiguring channels without causing undesirable power excursions due to varying gain experienced by channels in optical amplifiers, leading to lengthy reoptimization processes and increased reconfiguration time.
Innovation Solution
A method for reconfiguring optical channels by adjusting the power of active channels to offset predicted power changes caused by gain changes, using a prediction module and power adjuster to calculate and apply a specified negative fraction of the power change, thereby limiting power excursions below a threshold, and reconfiguring channels in an optical network with an optical network controller.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If real-time measurement of gain/loss is performed following network reconfiguration to re-optimize channel power, then channel power optimization is achieved, but reconfiguration time increases significantly
Solution Approach 1:
The patent applies preliminary action by using a numerical model to predict gain changes before they actually occur. The system calculates predicted gain values for all channels based on the reconfiguration plan, and pre-adjusts channel powers accordingly, eliminating the need for post-reconfiguration measurements and significantly reducing reconfiguration time.
Solution Approach 2:
The patent implements feedback by using the numerical model to continuously monitor and predict gain changes, then adjusting channel powers in real-time based on these predictions. This closed-loop approach ensures optimal channel power maintenance throughout the reconfiguration process without requiring lengthy real-time measurements.
2Stability of the object's composition
If the number of channels is changed in small increments to avoid large power excursions, then power stability is maintained, but reconfiguration time increases
Solution Approach 1:
The patent applies preliminary action by calculating the predicted gain changes for all channels before reconfiguration occurs. Using these predictions, the system pre-adjusts channel powers to compensate for upcoming gain changes, allowing larger channel increments without causing power excursions, thus reducing reconfiguration time while maintaining power stability.
Solution Approach 2:
The patent implements preliminary anti-action by pre-adjusting channel powers in the opposite direction of the predicted gain changes. Before reconfiguration, the system calculates how much power adjustment is needed to counteract the upcoming gain variation, and applies this adjustment in advance, thereby preventing power excursions from occurring in the first place.
3Power
If optical amplifiers are used to compensate for transmission fiber loss, then signal strength is maintained, but gain variation across different channels creates power excursions during reconfiguration
Solution Approach 1:
The patent applies local quality by adjusting the power of individual channels differently based on their specific gain predictions. Instead of uniform adjustment, the system calculates and applies channel-specific power adjustments according to their unique gain characteristics and positions in the optical network, thereby maintaining overall power stability while accommodating channel variations.
Solution Approach 2:
The patent implements parameter changes by dynamically modifying channel power levels based on predicted gain variations. The system calculates new power settings for each channel by considering the numerical model's predictions, and applies these parameter changes before reconfiguration occurs, thereby preventing power excursions and maintaining signal strength stability.
Data Source
AI summary
In wavelength division multiplexing (WDM) systems, one optical multiplexing section (OMS) can support several channels. During a network reconfiguration, the number or channel index of the channels in the OMS may change, which may result in a change in gain for other channels in the OMS due to the channel loading dependant gain properties of many optical amplifiers. Equalization is therefore required in order to reduce power excursion for the channels in the OMS. Using a model for the channel loading dependent gain of optical amplifiers, equalization may be performed more quickly than using measurement-based equalization methods. The model predicts the change in gain for the channels in an OMS following network reconfiguration, and allows for an equalizer to quickly or pre-emptively adjust for the changes. This model may include an artificial neural network, which is trained using some of the possible channel loading conditions for the OMS.