Distribution Matcher Encoding for Probabilistic Shaping in Coherent Optics

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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 amounts of multimedia data.

Innovation Solution

The implementation of distribution matcher encoders and decoders for probabilistic shaping applications, using hardware or software configurations, which avoids intensive multiplication functions and combines 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 channel misalignment occurs causing data recovery degradation

Engineering Contradiction:
Improvedata recovery qualityVSAvoidchannel alignment accuracy
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent applies preliminary action by performing channel alignment compensation before data transmission through pre-processing the optical signals. The system calculates timing skew and phase offset in advance and applies correction factors to align channels prior to modulation, preventing misalignment from degrading data recovery quality.

Inventive Principle:
Principle #10Preliminary action

2Productivity

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

Engineering Contradiction:
Improvespectral efficiencyVSAvoidmultiplication function intensity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces the mechanical arithmetic coding system with a lookup table-based distribution matcher. Instead of performing intensive multiplication operations, the system uses pre-computed lookup tables to map input bits to shaped constellation points, dramatically reducing computational complexity while maintaining spectral efficiency gains from probabilistic shaping.

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

Solution Approach 2:

The patent changes the operational parameters of probabilistic shaping by using non-uniform constellation point distribution with optimized probability assignments. This parameter optimization achieves high spectral efficiency without requiring complex multiplication-based arithmetic coding, as the shaped distribution is pre-calculated and stored in lookup tables.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If more channels are added to increase bandwidth, then data transmission capacity increases, but channel misalignment and skew become more severe

Engineering Contradiction:
Improvedata transmission capacityVSAvoidchannel synchronization
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent applies segmentation by dividing the multi-channel optical signal into separate processing streams, each with independent timing and phase compensation. The system processes each channel individually to calculate and apply alignment corrections, preventing inter-channel skew from degrading overall system reliability as channel count increases.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11190276B2Probabilistic shaping techniques for high performance coherent optical transceivers
Publication Date: 2021.11.30 MARVELL ASIA PTE LTD
  • US11190276B2 patent drawing
  • US11190276B2 patent drawing
  • US11190276B2 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.