Symbol Arrangement Encoding for Low-Loss Probabilistic Shaping
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Solution Overview
Problem
Existing probabilistic shaping techniques face performance deterioration due to increased loss in conversion rate caused by differences in the number of patterns between input and output symbol data, particularly in multilevel modulation methods like 16-QAM, leading to suboptimal power distribution and noise immunity in optical communication systems.
Innovation Solution
An encoding device and decoding device that determine symbol arrangement patterns based on integer values corresponding to bit strings, using a processor to calculate and assign symbol values to specific positions, optimizing the distribution of symbols towards the center of the constellation to improve probabilistic shaping performance by efficiently managing the number of arrangement patterns and reducing conversion rate loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional probabilistic shaping techniques are used with multilevel modulation methods, then the optical signal can be transmitted with improved power distribution, but the conversion rate loss increases due to differences in the number of patterns between input and output symbol data
Solution Approach 1:
The invention changes the parameter of symbol arrangement by determining specific positions for each symbol value based on quantity patterns and arrangement patterns. This parameter optimization resolves the contradiction by finding an arrangement that maintains the probabilistic shaping benefits while minimizing conversion rate loss through mathematical optimization of the mapping between input and output patterns
2Productivity
If the number of symbol values is increased to improve modulation capacity, then the transmission capacity increases, but the complexity of determining optimal symbol arrangements increases
Solution Approach 1:
The invention segments the symbol arrangement determination into manageable components: quantity patterns specifying how many of each symbol value to use, and arrangement patterns specifying their positions. This segmentation allows the system to handle increased modulation capacity while maintaining manageable encoding complexity through structured organization of the mapping process
3Ease of manufacture
If fixed composition distribution matching is used to simplify the encoding process, then the implementation becomes more straightforward, but the conversion rate loss increases when the symbol string size is small
Solution Approach 1:
The invention introduces dynamic adaptability by determining symbol arrangements based on quantity patterns and arrangement patterns that can be optimized for different symbol string sizes. This dynamic approach allows the system to maintain low implementation complexity while reducing conversion rate loss by adapting the arrangement strategy to the specific conditions of each encoding operation
Data Source
AI summary
An encoding device includes a processor. The processor configured to determine, based on an integer value that corresponds to a bit string of a predetermined amount, quantities for a predetermined number of individual symbol values included in a symbol sting encoded from the bit string of the predetermined amount. The processor configured to specify positions of symbols in the symbol string for the individual symbol values from the quantities for the individual symbol values and a first parameter related to a number of arrangement patterns of the symbols that corresponds to the quantities for the individual symbol values. The processor configured to generate the symbol string by assigning to the specified positions the corresponding symbol values.