Constellation Point Extraction for Low-Complexity Geometric Shaping
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Solution Overview
Problem
Geometric shaping in high-order modulation requires complex constellation point construction and optimization, leading to high description complexity.
Innovation Solution
A communication method that non-uniformly distributes constellation points in a third constellation point set, similar to a first constellation point set, allowing for geometric shaping with reduced implementation complexity by extracting the first constellation point set from a predefined second constellation point set.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If geometric shaping is used to achieve shaping gain, then spectral efficiency is improved, but description complexity increases due to irregular constellation points and optimized constellation construction
Solution Approach 1:
The patent extracts a subset of constellation points from a larger predefined constellation point set to form a smaller constellation point set with non-uniform distribution. This extraction approach enables geometric shaping gain while avoiding the complexity of constructing entirely new irregular constellation patterns, as the selected points are drawn from an existing standardized constellation structure.
Solution Approach 2:
The patent makes the smaller constellation point set universal by ensuring it can be derived from multiple different larger constellation point sets through the same extraction rule. This multi-functionality allows the solution to work across different modulation orders and constellation configurations, reducing the need for separate complex designs for each case and thereby lowering overall system complexity.
2Productivity
If probabilistic shaping is used to achieve larger performance gain, then spectral efficiency is improved, but implementation complexity increases due to larger modification to coding and modulation procedure
Solution Approach 1:
The patent adopts a simpler, more disposable approach by using fixed extraction rules from predefined constellation sets rather than implementing complex probabilistic shaping algorithms. This lightweight solution achieves acceptable shaping gain without requiring extensive modifications to coding and modulation procedures, making it more implementable in practical systems.
Data Source
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AI summary
This application provides a communication method and a related apparatus, to reduce complexity of geometric shaping. The method includes: A first device obtains a to-be-transmitted bit sequence; and modulates the bit sequence based on a third modulation scheme, to map the bit sequence to each constellation point in a third constellation point set, to obtain a modulated symbol. The first device sends the modulated symbol to a second device. Correspondingly, the second device receives the modulated symbol; and demodulates the modulated symbol, to obtain the bit sequence. A plurality of constellation points in the third constellation point set are non-uniformly distributed, the third constellation point set is similar to a first constellation point set corresponding to a first modulation scheme, the first constellation point set is a subset of a second constellation point set, the second constellation point set is a set of a plurality of constellation points corresponding to a predefined second modulation scheme, an order of the second modulation scheme is higher than an order of the first modulation scheme, and an order of the third modulation scheme is the same as the order of the first modulation scheme.