Coherent Optical Transceiver OSNR Estimation via BER and ROP
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Solution Overview
Problem
Current methods for monitoring the performance of coherent optical receivers in high-data-rate optical communication systems are expensive and complex, limiting their ability to effectively manage noise and bit error rates, which affects transmission distance and data integrity.
Innovation Solution
An optical transceiver with a photo diode and processor that measures receiver optical power and bit error rate, estimating the optical signal noise ratio (OSNR) to facilitate data routing and performance monitoring, using correlations between BER vs OSNR and BER vs ROP curves for predictive modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If known systems are used to monitor the performance of a coherent optical receiver, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a computational model that copies the relationship between OSNR, BER, and ROP observed in laboratory conditions. This model allows the system to estimate OSNR by measuring BER and ROP with simple existing components, rather than using complex dedicated OSNR measurement equipment. The model effectively replicates the behavior of sophisticated monitoring systems through software-based prediction.
Solution Approach 2:
The patent replaces physical OSNR measurement hardware with a computational approach. Instead of using complex optical measurement devices, the system substitutes a mathematical model that processes electrical signals (BER and ROP measurements) to predict OSNR. This substitution eliminates the need for specialized measurement hardware while maintaining measurement accuracy.
2Length of stationary object
If optical amplifiers are used to compensate for attenuation, then transmission distance is improved, but noise increases limiting performance
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors BER and ROP, uses the computational model to estimate OSNR, and feeds this information back to the network management system. This feedback loop allows for real-time assessment of signal quality and enables dynamic adjustment of transmission parameters to maintain optimal performance over long distances despite noise accumulation from optical amplifiers.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach simplifies performance monitoring, reduces costs, and enhances the ability to manage noise and bit error rates, thereby improving data transmission reliability and distance in optical communication systems.
Implementation Method 1
The photo diode is configured to measure a receiver optical power (ROP) value
Data Source
AI summary
In some embodiments, an apparatus includes an optical transceiver configured to be operatively coupled to a network. The optical transceiver includes a photo diode and a processor configured to be operatively coupled to the photo diode. The photo diode is configured to measure a receiver optical power (ROP) value and send the ROP value to the processor. The processor is configured to measure a bit error rate (BER) value of a digital modulated signal at an input port of the optical transceiver. The processor is also configured to determine an estimated optical signal noise ratio (OSNR) value at the input port of the optical transceiver based on the ROP value and the BER value. The processor is configured to send a signal indicating the estimated OSNR value such that a planned route is selected for sending data signals through within the optical transceiver based on the estimated OSNR value.