Cross QAM Symbol Mapping by Bit Reliability Class
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Solution Overview
Problem
The GERAN Evolution mobile communication system requires an efficient symbol mapping method for cross M-QAM modulation schemes to improve performance and reliability, particularly in allocating priority data based on bit error rates during transmission.
Innovation Solution
A method and apparatus for determining bit patterns in a wireless communication system using cross M-QAM, which classifies symbol positions by reliability and prioritizes higher-priority symbols for placement in higher-reliability positions, utilizing an average bit error rate and bit error rates specific to transmission positions to maximize turbo coding gain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cross M-QAM modulation is used to increase data transmission rate and spectral efficiency, then productivity is improved, but reliability deteriorates due to higher bit error rates in certain symbol positions
Solution Approach 1:
The patent applies local quality by differentiating the reliability characteristics of different symbol positions within the cross M-QAM constellation. Specifically, it identifies that certain bit positions (e.g., first and fourth bits in 32-QAM) have lower error rates while others have higher error rates. The invention maps different data priorities to different symbol positions based on their local reliability characteristics, thereby optimizing overall transmission reliability while maintaining high data rates.
Solution Approach 2:
The patent implements preliminary action by pre-classifying symbol positions into reliability classes before actual data transmission. The system预先 determines which symbol positions have better error rate performance and establishes a mapping strategy in advance. This allows the transmitter to proactively allocate higher-priority data to more reliable positions, preventing error propagation and improving overall link reliability before transmission occurs.
2Productivity
If high-order QAM modulation (16-QAM, 32-QAM) is adopted to improve spectral efficiency, then productivity is improved, but device complexity increases due to more complex symbol mapping requirements
Solution Approach 1:
The patent applies segmentation by dividing the symbol mapping process into distinct stages: first classifying symbol positions into reliability classes, then mapping data bits to symbols based on their priority and the reliability characteristics of target positions. This segmented approach breaks down the complex mapping task into manageable steps, reducing implementation complexity while maintaining the benefits of high-order QAM modulation.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting the mapping strategy based on channel conditions and data priority requirements. The system can change mapping parameters such as which symbol positions receive which data priorities, allowing flexible adaptation to different transmission scenarios. This parameter-based control simplifies the overall system design by providing a configurable framework rather than requiring complex fixed mapping logic.
Data Source
AI summary
A method for determining a bit pattern of a symbol in a wireless communication system using a cross modulation scheme. The method includes generating symbols with the cross modulation scheme, classifying positions of coding symbols by reliabilities of at least 3 classes according to an average bit error rate BER(ave) of symbols generated with the cross modulation scheme and a bit error rate BER based on transmission positions of the coding symbols in a modulation symbol during transmission of a packet with the cross modulation scheme, and determining a bit pattern such that higher-priority symbols are inserted into higher-reliability positions.


