Likelihood Generation Circuit Using 1D/2D LUTs for High-Order QAM
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Solution Overview
Problem
The increasing transmission capacity in optical communication systems beyond 1 Tbps and the need to support various modulation methods like QPSK to 128-QAM pose a challenge in reducing the circuit scale of digital circuits, particularly for high-order modulation methods, where lookup tables (LUTs) used for likelihood generation become excessively large.
Innovation Solution
An optical transmission device with a likelihood generation circuit that includes one-dimensional and two-dimensional modulation lookup tables to generate likelihoods from I-axis and Q-axis components, allowing for shared usage across different modulation methods, thereby reducing the overall circuit scale.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high-order modulation methods (64-QAM, 128-QAM, 256-QAM) are used to increase transmission capacity, then the bit rate of transmission data increases, but the arrangement intervals between signal points become narrow requiring higher SNR and more complex error correction codes
Solution Approach 1:
The patent segments the likelihood calculation process into multiple stages: first performing hard decision decoding to obtain initial bit decisions, then using these decisions to identify the quadrature of the phase plane, and finally converting likelihood information based on the identified quadrature. This segmentation reduces the computational complexity compared to calculating likelihoods for all possible signal points.
Solution Approach 2:
The patent performs partial action by limiting the likelihood calculation to only the necessary quadrants of the phase plane based on hard decision results. Instead of calculating likelihoods for all signal points across the entire phase plane, the system performs calculations only in the relevant quadrature regions, reducing the overall computational load while maintaining decoding performance.
2Reliability
If soft decision decoding is used to enhance error correction performance, then the decoding performance improves, but arithmetic calculation processing imposing high load is required and circuit scale increases
Solution Approach 1:
The patent segments the soft decision decoding process into distinct stages: hard decision decoding to obtain preliminary bit values, quadrature detection based on these values, and likelihood conversion in the identified quadrature. This segmentation allows the system to maintain soft decision performance while reducing circuit complexity by performing calculations only in relevant quadrants rather than the entire phase plane.
Solution Approach 2:
The patent performs preliminary hard decision decoding before performing the full soft decision likelihood calculation. This preliminary action provides information about the likely quadrature of the received signal, which is then used to limit the scope of subsequent likelihood calculations. This preliminary step reduces the computational load of the soft decision process while maintaining its performance benefits.
3Device complexity
If lookup tables are used to reduce circuit scale for likelihood generation, then the circuit scale is reduced, but the LUTs become excessively large for high-order modulation methods
Solution Approach 1:
The patent segments the lookup table requirements by creating separate LUTs for different quadratures of the phase plane. Each LUT stores likelihood values only for its specific quadrature region rather than storing all possible signal point likelihoods. This segmentation dramatically reduces the size of individual LUTs while collectively covering the entire phase plane through the combination of multiple smaller LUTs.
Solution Approach 2:
The patent uses partial action by activating and using only the LUT corresponding to the identified quadrure of the received signal. Instead of requiring all LUTs to be simultaneously active or sized to cover the entire phase plane in one large structure, the system selectively accesses only the partial LUT needed for the specific quadrature, reducing the effective LUT size required at any given time.
Data Source
AI summary
Provided is an optical transmission device including: a symbol demapping unit; a likelihood generation circuit configured to generate likelihoods relating to the reception signal; and an error correction decoding unit configured to execute soft decision decoding. The likelihood generation circuit includes: a first one-dimensional-modulation lookup table configured to input the signal of the I-axis component as an argument to output a first likelihood; a second one-dimensional-modulation lookup table configured to input the signal of the Q-axis component as an argument to output a second likelihood; and a two-dimensional-modulation lookup table configured to input, as an argument, the signal being the concatenation of the signal of the I-axis component and the signal of the Q-axis component, to generate a third likelihood. The error correction decoding unit is configured to execute the soft decision decoding based on the first likelihood, the second likelihood, and the third likelihood.


