Optical Network Adaptive Coding for Nonlinear Channel Distortion

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Solution Overview

Problem

Existing adaptive coding methods fail to effectively address nonlinear channels in optical communications, limiting the effectiveness of forward error correction (FEC) coding and lacking unified theories for feedback usage in such channels.

Innovation Solution

The method involves generating and analyzing an extrinsic information transfer (EXIT) chart using channel statistics to adapt FEC precoding and encoding, optimizing low-density parity-check (LDPC) codes, and implementing automatic repeat request (ARQ) and adaptive precoding techniques like trellis shaping, utilizing Gaussian mixture models and Volterra series expansions to improve reliability and efficiency in nonlinear channels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If FEC coding is optimized using EXIT chart for linear channels, then error probability is reduced, but the method fails to address nonlinear channels in optical communications

Engineering Contradiction:
Improveerror probabilityVSAvoidapplicability to nonlinear channels
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent extends the EXIT chart methodology from linear to nonlinear channels by introducing modified EXIT chart analysis that accounts for nonlinear distortion characteristics. This involves changing the mathematical parameters and models used in EXIT chart construction to incorporate nonlinear channel effects, thereby maintaining the ability to optimize FEC coding while adapting to nonlinear optical communication channels.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If adaptive coding methods are used to adjust FEC coding according to channel state, then performance is improved, but no unified theory exists for feedback usage in nonlinear channels

Engineering Contradiction:
Improvecommunication performanceVSAvoidtheoretical framework complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent develops a unified feedback theory for nonlinear channels by extending the EXIT chart framework to include feedback mechanisms specifically designed for nonlinear channel characteristics. This allows the system to adapt FEC coding based on channel state information while providing a coherent theoretical foundation for feedback usage in nonlinear optical communication systems.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent creates a universal EXIT chart-based framework that can handle both linear and nonlinear channels through a unified theoretical approach. This multi-functional framework provides consistent methods for analyzing and optimizing FEC coding across different channel types, eliminating the need for separate theoretical treatments for linear and nonlinear channels.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Reliability

If DBP is used for nonlinear channels, then nonlinear distortion is compensated, but computational complexity increases significantly

Engineering Contradiction:
Improvenonlinear distortion compensationVSAvoidcomputational complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent transforms the complex DBP approach into a more efficient method by changing the computational parameters and models. Instead of performing full digital back-propagation with high computational complexity, the patent uses modified EXIT chart analysis that captures essential nonlinear effects through simplified mathematical models, thereby reducing computational requirements while maintaining distortion compensation effectiveness.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentEP2920894B1Optical communications network and method for adaptively coding signals in optical network
Publication Date: 2018.03.28 MITSUBISHI ELECTRIC CORP
  • EP2920894B1 patent drawingFigure 1
  • EP2920894B1 patent drawingFigure 2
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AI summary

An adaptive coding scheme for nonlinear channels improves reliability and an efficiency in digital communication networks. The method monitors channel statistics to analyze an extrinsic information transfer chart of the channels. The channel statistics are fed back to the transmitter to adapt forward error correction coding. A parametric analysis method uses a Gaussian mixture model. The statistical information feedback can adapt an ARQ sheme by adding a weighted received signal to the original coded signals to reduce nonlinear distortion. Trellis shaping can make the transmitting signal preferable for nonlinear channels.