Optical Receiver Decision Threshold Optimization

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Solution Overview

Problem

Conventional pluggable optical transceivers lack advanced optical performance and receiver threshold optimization algorithms, limiting their ability to maintain high performance in metro, regional, and core network applications while preserving interoperability with existing host systems.

Innovation Solution

A self-contained receiver threshold optimization loop within a compact module, such as a pluggable optical transceiver, that adjusts the decision threshold using performance metrics like FEC to optimize receiver performance through fine and coarse sweeps, allowing continuous adjustment without external communication.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional pluggable optical transceivers are used to maintain interoperability with existing host systems, then compatibility is improved, but receiver performance and error minimization capability deteriorate

Engineering Contradiction:
ImproveinteroperabilityVSAvoidreceiver performance
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The receiver performs self-optimization by automatically adjusting its decision threshold based on observed error patterns and performance metrics without requiring external intervention. The system monitors its own operation, identifies suboptimal performance, and autonomously tunes parameters to improve reliability while maintaining MSA compliance

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system dynamically adjusts the decision threshold parameter based on real-time performance monitoring. By changing this critical parameter adaptively, the receiver optimizes its error correction capability while remaining compliant with MSA electrical characteristics, resolving the contradiction between standard compliance and performance optimization

Inventive Principle:
Principle #35Parameter changes

2Reliability

If receiver threshold optimization algorithms are added to improve performance, then reliability is improved, but device complexity increases

Engineering Contradiction:
Improvereceiver performanceVSAvoidalgorithm complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The optimization algorithm uses feedback from error correction metrics and observed signal characteristics to continuously refine the decision threshold. This closed-loop approach enables automatic adaptation to changing transmission conditions, improving reliability through a manageable level of complexity that leverages existing receiver resources

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary characterization of the transmission channel and signal conditions during initialization or periodic sampling. This advance preparation allows the receiver to pre-compute optimal threshold values or establish baseline parameters, reducing the computational burden during normal operation and managing overall system complexity

Inventive Principle:
Principle #10Preliminary action

3Reliability

If dynamic threshold adjustment is implemented to minimize errors, then receiver performance is improved, but ease of operation deteriorates due to additional configuration requirements

Engineering Contradiction:
Improveerror minimizationVSAvoidconfiguration simplicity
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The receiver automatically performs threshold optimization without requiring manual configuration or external control. The system monitors its own performance metrics, identifies optimization opportunities, and adjusts parameters autonomously, thereby improving error minimization while maintaining operational simplicity for end users

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

An internal optimization module acts as an intermediary between the raw received signals and the decision-making logic. This intermediate layer handles the complexity of threshold optimization transparently, presenting a simplified interface to the rest of the system and maintaining ease of operation while achieving advanced error correction

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS8886034B2Systems and methods for optical receiver decision threshold optimization
Publication Date: 2014.11.11 WELLS FARGO BANK NA
  • US8886034B2 patent drawing
  • US8886034B2 patent drawing
  • US8886034B2 patent drawing

AI summary

The present invention provides systems and methods for a receiver threshold optimization loop to provide self-contained automatic adjustment in a compact module, such as a pluggable optical transceiver. The receiver threshold optimization loop utilizes a performance metric associated with the receiver, such as FEC, to optimize performance of the receiver. The receiver is optimized through a change in the receiver threshold responsive to the performance metric. Advantageously, the present invention provides improved receiver performance through a continuous adjustment that is self-contained within the receiver, such as within a pluggable optical transceiver compliant to a multi-source agreement (MSA). The receiver threshold optimization loop can include a fine and a coarse sweep of adjustment from an initial setting.