Optical Transceiver Power Control for BER-Based Optimization
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Solution Overview
Problem
Existing optical transceivers in optical communication systems face challenges in optimizing performance characteristics and controlling power effectively, particularly in managing bit error rates (BER) for various communication elements.
Innovation Solution
A method and optical transceiver design that includes power control, performance initialization, and optimization based on signal flow and bit error rate (BER) characteristics, with a processor managing communication elements in transmitters and receivers to adjust power and control values for optimal performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If power control is performed based on signal flow direction, then power distribution efficiency is improved, but control complexity increases
Solution Approach 1:
The patent applies reverse direction power control by providing power to communication elements in the reverse direction of signal transmission. Specifically, the transmitter provides power to the receiver in reverse of the signal flow direction, and the receiver provides power to the transmitter in reverse of its signal flow direction. This inversion principle resolves the contradiction by improving power distribution efficiency through bidirectional power delivery while using automated control algorithms to manage the increased control complexity.
Solution Approach 2:
The patent implements feedback mechanisms by measuring bit error rates (BER) and performance characteristics, then using this information to dynamically adjust power control values and optimization parameters. The processor continuously monitors communication element performance and adjusts power distribution accordingly, resolving the control complexity through systematic feedback loops that automate the power optimization process.
2Reliability
If performance optimization is performed based on detailed BER characteristics, then communication reliability is improved, but processing time increases
Solution Approach 1:
The patent applies preliminary action by performing performance initialization that determines control values as intermediate values of overall control ranges before actual communication begins. This pre-initialization of communication elements based on their control ranges reduces the processing time required during actual operation, while still achieving optimal reliability through the pre-established performance baseline.
Solution Approach 2:
The patent implements partial action by focusing BER-based optimization on specific communication elements and functions that most impact reliability, rather than uniformly optimizing all elements. The processor selectively adjusts power control values for elements where BER improvement is most critical, reducing overall processing time while maintaining communication reliability through targeted optimization of key components.
3Loss of information
If control values are adjusted based on BER measurements, then bit error rate is reduced, but system complexity increases
Solution Approach 1:
The patent applies self-service by enabling communication elements to automatically adjust their own power control values based on measured BER characteristics. The system uses automated algorithms where the processor and communication elements work together to self-optimize performance without requiring external manual intervention. This reduces system complexity by eliminating the need for complex external control mechanisms while achieving BER reduction through self-adjusting power control.
Data Source
AI summary
Provided are an optical transceiver and a method of optimizing the optical transceiver. The method of optimizing the optical transceiver includes performing power control of communication elements included in a transmitter and a receiver included in the optical transceiver based on a signal flow of the transmitter and the receiver, performing performance initialization of the communication elements based on a control range for each detailed function of the communication elements, and performing performance optimization of the communication elements based on change characteristics of a bit error rate (BER) for each detailed function of the communication elements.