Multi-Dimensional Constellation Shaping for Nonlinear Optical Links

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

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

Innovation Solution

The implementation of novel constellations for bit-to-symbol mapping and symbol-to-bit demapping using shaped and unshaped bits allows for target spectral efficiency while preserving power-balancing and polarization-balancing, enabling flexible data rate adjustment through 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 flexibility
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

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 values according to predetermined probabilities. This allows the system to adapt spectral efficiency continuously while maintaining nonlinear tolerance through the statistical properties of the shaped constellation.

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 of multiple energy levels. By assigning different probabilities to symbols with different energies, the system achieves variable spectral efficiency while the overall constellation maintains properties that tolerate nonlinear impairments.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If probabilistic constellation shaping with variable energy symbols is used, then spectral efficiency is improved, but nonlinear interference increases

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

Solution Approach 1:

The patent applies local quality by differentiating between inner and outer constellation symbols with different energy levels and probabilities. High-energy symbols are assigned lower probabilities and low-energy symbols higher probabilities, creating a local optimization where each symbol's energy-probability pairing contributes to both spectral efficiency and nonlinear tolerance.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent uses partial action by not uniformly distributing energy across all symbols, but rather applying energy distribution selectively based on predetermined probabilities. This partial application of high-energy symbols (rather than all symbols) achieves spectral efficiency gains while limiting the total nonlinear interference generated.

Inventive Principle:
Principle #16Partial or excessive action

3Loss of information

If high-cardinality QAM formats are used for PCS, then bits per symbol is increased, but power-balancing is compromised

Engineering Contradiction:
Improvebits per symbolVSAvoidpower-balancing
Core Design Contradiction:
Loss of informationVSStability of the object's composition

Solution Approach 1:

The patent applies asymmetry by using asymmetric probability assignments to constellation symbols based on their energy levels. Rather than symmetric equal-probability QAM, the system uses asymmetric probabilistic shaping where lower-energy symbols have higher probabilities, creating an asymmetric distribution that maintains power balance while achieving high spectral efficiency.

Inventive Principle:
Principle #4Asymmetry

Data Source

PatentEP3864812B1Probabilistic constellation shaping of multi-dimensional symbols for improved tolerance to nonlinear impairments
Publication Date: 2023.08.23 CIENA CORP

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.