Distribution Matcher Architecture for Coherent Optical Probabilistic Shaping

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Solution Overview

Problem

Existing optical communication systems face performance limitations and high power consumption due to misalignment of data channels, which degrades data recovery and fails to meet the demands of high-bandwidth applications like social networks processing large multimedia data.

Innovation Solution

The implementation of distribution matcher encoders and decoders for probabilistic shaping applications, using hardware or software configurations, which avoid intensive multiplication functions and combine with LDPC codes through reverse concatenation techniques, achieving high parallelism and throughput suitable for optical communications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional optical communication systems are used, then data transmission is supported, but spectral efficiency and coding gain are insufficient, leading to performance limitations

Engineering Contradiction:
Improvedata recovery performanceVSAvoidspectral efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent applies probabilistic shaping techniques that change the statistical distribution of transmitted symbols, optimizing the constellation mapping to achieve better spectral efficiency and coding gain while maintaining data recovery performance

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent introduces distribution matcher encoders and decoders as intermediary components between the data source and the optical channel, enabling probabilistic shaping to bridge the gap between conventional systems and high-performance requirements

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If traditional arithmetic coding is used for probabilistic shaping, then data conversion is achieved, but intensive multiplication functions increase device complexity and power consumption

Engineering Contradiction:
Improveprobabilistic shaping capabilityVSAvoidmultiplication function intensity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent replaces traditional arithmetic coding methods that rely on intensive multiplication operations with an alternative implementation using lookup tables and addition-based algorithms, significantly reducing device complexity and power consumption while maintaining probabilistic shaping functionality

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent uses lookup tables to store pre-computed probability distribution values, replacing complex real-time multiplication operations with simple table lookups and additions, thereby reducing computational complexity

Inventive Principle:
Principle #26Copying

3Reliability

If conventional error correction codes are used, then basic data protection is provided, but rate loss increases and power consumption is high

Engineering Contradiction:
Improveerror correction capabilityVSAvoidpower consumption
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent combines probabilistic shaping with LDPC codes through reverse concatenation, changing the parameter optimization approach to achieve better error correction performance with reduced rate loss and lower power consumption compared to conventional FEC implementations

Inventive Principle:
Principle #35Parameter changes

4Device complexity

If data channels are not aligned, then transmitter simplicity is maintained, but relative timing misalignment degrades recovered data quality

Engineering Contradiction:
Improvetransmitter structureVSAvoiddata recovery quality
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent implements preliminary timing alignment and synchronization mechanisms in the distribution matcher encoder and decoder, proactively compensating for potential misalignment before it degrades data recovery quality, thus maintaining both transmitter simplicity and receiver performance

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10608749B1Probabilistic shaping techniques for high performance coherent optical transceivers
Publication Date: 2020.03.31 MARVELL ASIA PTE LTD
  • US10608749B1 patent drawing
  • US10608749B1 patent drawing
  • US10608749B1 patent drawing

AI summary

A method and structure for probabilistic shaping and compensation techniques in coherent optical receivers. According to an example, the present invention provides a method and structure for an implementation of distribution matcher encoders and decoders for probabilistic shaping applications. The techniques involved avoid the traditional implementations based on arithmetic coding, which requires intensive multiplication functions. Furthermore, these probabilistic shaping techniques can be used in combination with LDPC codes through reverse concatenation techniques.