Probability Non-Uniform Modulation for Constrained Channel Demodulation
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Solution Overview
Problem
Conventional modulation technologies, such as QAM, are inadequate in channel capacity and bit error rate performance when faced with input amplitude constraints or varying noise distributions, as they do not consider noise distribution and power limitations.
Innovation Solution
A data transmission method and apparatus based on probability non-uniform modulation, where the transmit end generates a physical layer data frame with indication information for demodulation parameters, including modulation scheme, modulation order, constellation symbol probabilities, and mapping relationships, to enable effective demodulation at the receive end, improving transmission efficiency and bit error rate performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional modulation technologies (e.g., QAM) are used, then the modulation scheme is simple and easy to implement, but the channel capacity is insufficient and bit error rate performance is poor when there are input amplitude constraints or different noise distributions
Solution Approach 1:
The patent changes the probability parameters of constellation symbols from uniform to non-uniform distribution. By adjusting the probability of each constellation symbol based on noise distribution characteristics and power constraints, the system achieves better bit error rate performance and channel capacity without fundamentally changing the modulation architecture.
Solution Approach 2:
The patent introduces dynamic adaptation by allowing the modulation scheme to adjust constellation symbol probabilities based on channel conditions. The system can dynamically select different probability non-uniform modulation parameters according to noise distribution and power constraints, making the modulation scheme adaptive rather than static.
2Productivity
If probability non-uniform modulation is used, then shaping gain is improved and transmission rate approaches channel capacity, but the demodulation complexity increases due to additional parameters
Solution Approach 1:
The patent applies preliminary action by pre-calculating and pre-defining the probability non-uniform modulation parameters and constellation symbol probabilities before transmission. These parameters are prepared in advance based on channel characteristics, so that during actual transmission and demodulation, the receiver can directly use these pre-computed parameters without performing complex real-time calculations.
Solution Approach 2:
The patent introduces an intermediary element in the form of pre-computed probability non-uniform modulation parameters that bridge the transmitter and receiver. These parameters act as a mediator that carries the necessary information for demodulation without requiring complex real-time computation at the receiver, thus reducing demodulation complexity while maintaining high transmission rate.
3Measurement precision
If all demodulation parameters are explicitly transmitted, then demodulation accuracy is improved, but information redundancy increases and transmission resources are wasted
Solution Approach 1:
The patent extracts only the essential demodulation parameters that are necessary for accurate probability non-uniform demodulation and transmits them, while omitting redundant parameters. By carefully selecting and extracting only the critical parameters (such as constellation symbol probabilities and mapping relationships), the system maintains demodulation accuracy while minimizing information redundancy and transmission overhead.
4Productivity
If probability non-uniform modulation is used under input amplitude constraints, then transmission efficiency is improved, but the modulation scheme becomes more complex to manage constraints
Solution Approach 1:
The patent changes the probability parameters of constellation symbols to non-uniform distribution specifically designed to satisfy input amplitude constraints. By adjusting the probability weights of different constellation symbols, the system achieves better transmission efficiency under power and amplitude constraints without requiring complex real-time constraint management mechanisms.
Data Source
AI summary
A data transmission method includes generating a physical layer data frame, where the physical layer data frame includes data on which probability non-uniform modulation is performed and indication information, where the indication information indicates demodulation parameters for performing probability non-uniform demodulation on the data, where the demodulation parameters include a modulation scheme for probability non-uniform modulation, a modulation order for probability non-uniform modulation, and at least one of a probability of each constellation symbol on which probability non-uniform modulation is performed, or a mapping relationship between each constellation symbol on which probability non-uniform modulation is performed and a bit stream, sending the physical layer data frame to a receive end, receiving the physical layer data frame, determining the demodulation parameters based on the indication information, and performing probability non-uniform demodulation on the data based on the demodulation parameters.