PSCM Transmitter Parameter Signaling for Lower Shaping Loss
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Solution Overview
Problem
Current communication systems do not effectively utilize optimal symbol distributions, leading to shaping loss, and lack a systematic method for parameter selection and signaling in probabilistically shaped coded modulation (PSCM) schemes, particularly in wireless communication standards.
Innovation Solution
A transmitter and transmission method that precode data using a probabilistic shaping scheme, determining precoding parameters based on modulation and coding parameters, and signaling these parameters for alignment with the receiver, utilizing a polar code and channel decoder to simplify the structure and reduce signaling overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a shaping encoder is introduced to achieve optimal symbol distribution, then shaping loss is reduced, but device complexity increases
Solution Approach 1:
The patent combines the shaping encoder and channel encoder into a single integrated encoder that performs both functions simultaneously. This merging eliminates the need for separate shaping encoder blocks while achieving both probabilistic shaping and channel coding, thereby reducing device complexity while maintaining the energy efficiency benefits of optimal symbol distribution.
Solution Approach 2:
The integrated encoder is designed to perform multiple functions: it acts as both a shaping encoder that generates optimal symbol distributions and a channel encoder that provides error protection. This multi-functional design reduces the overall number of components needed in the transmitter while achieving the desired performance improvements.
2Reliability
If multiple precoding parameters are signaled to the receiver, then communication performance is improved, but signaling overhead increases
Solution Approach 1:
The patent signals only the necessary subset of precoding parameters to the receiver rather than all parameters. By identifying and transmitting only the critical parameters needed for accurate reconstruction and decoding, the signaling overhead is reduced while maintaining sufficient communication performance.
Solution Approach 2:
Different levels of parameter signaling are provided based on the specific communication scenario and receiver capabilities. The system adapts the amount of parameter information signaled according to the local requirements, providing full parameter sets when high performance is needed and reduced parameter sets when overhead must be minimized.
3Measurement precision
If a complex precoding parameter selection method is used, then shaping accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent pre-determines and stores optimal precoding parameter mappings in lookup tables before actual transmission. These pre-computed mappings associate channel conditions with optimal precoding parameters, allowing the system to achieve high shaping accuracy by simply table-lookuping the appropriate parameters rather than performing complex real-time optimization calculations.
Solution Approach 2:
The system uses pre-computed parameter mappings that were optimized offline to guide real-time parameter selection. By changing from real-time complex optimization to lookup-based parameter selection, the system maintains high shaping accuracy while dramatically reducing computational complexity during actual transmission operations.
Data Source
AI summary
Example transmission methods and apparatus are described. In one example method, a transmitter is configured to communicate with a receiver via a communication channel. The transmitter is configured to precode a data word into a precoded data word using a probabilistic shaping scheme, wherein the probabilistic shaping scheme depends on one or more precoding parameters. The precoded data word is encoded into a codeword using a modulation and/or coding scheme, wherein the modulation and/or coding scheme depends on one or more modulation and coding parameters. At least one precoding parameter is determined on the basis of at least one of the one or more modulation and coding parameters and/or on the basis of at least one further precoding parameter.