Probabilistic Constellation Shaping for Nonlinear-Tolerant Optical Symbols

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Solution Overview

Problem

Existing modulation formats with constant symbol energy, such as BPSK and QPSK, offer improved nonlinear performance but restrict data rate to a single value, limiting spectral efficiency in optical communication systems.

Innovation Solution

The development of novel constellations and bit-to-symbol mapping techniques using shaped and unshaped bits allows for adaptive spectral efficiency between 1 and 6 bits per time slot, preserving power-balancing and polarization-balancing properties beneficial for nonlinear tolerance, by employing systematic FEC encoding and probabilistic constellation shaping.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If constant symbol energy modulation formats (BPSK, QPSK) are used, then nonlinear performance is improved, but spectral efficiency is limited to a single value

Engineering Contradiction:
Improvenonlinear performanceVSAvoidspectral efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent applies dynamics by transitioning from static constant-energy constellations to dynamic probabilistic constellation shaping where symbol energies are randomly selected from multiple possible energy levels according to a probability distribution. This allows the system to adaptively balance between nonlinear tolerance (by occasionally using lower energy symbols) and spectral efficiency (by using higher energy symbols when beneficial), resolving the contradiction between reliability and productivity.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the energy parameter of constellation symbols from a fixed constant value to a probabilistic distribution over multiple energy levels. By controlling the probability distribution of symbol energies, the system can optimize both nonlinear performance (through appropriate use of lower energy symbols) and spectral efficiency (through strategic use of higher energy symbols), thereby resolving the technical contradiction.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If high-cardinality QAM formats are used to increase spectral efficiency, then bits per symbol increases, but nonlinear interference increases significantly

Engineering Contradiction:
Improvespectral efficiencyVSAvoidnonlinear interference
Core Design Contradiction:
ProductivityVSObject-generated harmful factors

Solution Approach 1:

The patent changes the energy parameter of constellation symbols from a fixed constant value to a probabilistic distribution over multiple energy levels. By controlling the probability distribution of symbol energies, the system can optimize both nonlinear performance (through appropriate use of lower energy symbols) and spectral efficiency (through strategic use of higher energy symbols), thereby resolving the technical contradiction.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent applies dynamics by transitioning from static constant-energy constellations to dynamic probabilistic constellation shaping where symbol energies are randomly selected from multiple possible energy levels according to a probability distribution. This allows the system to adaptively balance between nonlinear tolerance (by occasionally using lower energy symbols) and spectral efficiency (by using higher energy symbols when beneficial), resolving the contradiction between reliability and productivity.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS11831431B2Probabilistic constellation shaping of multi-dimensional symbols for improved tolerance to nonlinear impairments
Publication Date: 2023.11.28 CIENA CORP
  • US11831431B2 patent drawing
  • US11831431B2 patent drawing
  • US11831431B2 patent drawing

AI summary

An optical transmitter device (14) includes a digital signal processor ‘DSP’ (20) having digital hardware (30). The DSP is operative to generate (102,202,302) shaped bits from a first set of information bits, and to apply (104,204,304) a systematic forward error correction ‘FEC’ scheme to encode the shaped bits and a second set of information bits, where the first set of information bits and the second set of information bits are disjoint sets. Unshaped bits and the shaped bits are mapped to selected symbols or are used to select symbols from one or more constellations. The selected symbols are mapped to physical dimensions. Each unshaped bit is either one of the second set of information bits or one of multiple parity bits resulting from the FEC encoding. In this manner, a target spectral efficiency is achieved.