Unequal Error Protection Mapping for Wireless Codebooks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional codebook and constellation implementations in multiple access wireless communications systems do not consider unequal error protection (UEP) properties of error correction codes, leading to suboptimal performance and increased complexity in multi-user detection.
Innovation Solution
The implementation of codebooks and constellations with unequal error protection levels, where bits are mapped to symbols based on their error protection levels, optimizing power allocation and partitioning to improve iterative decoding performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional codebook or constellation implementations are used, then the coding gain may be increased, but the complexity of multi-user detection increases and unequal error protection properties are not utilized
Solution Approach 1:
The patent applies local quality by assigning different error protection levels to different bit positions within the codebook or constellation. Specifically, certain bit positions are mapped to symbols with higher error protection (more robust modulation) while others receive lower protection, creating localized quality differences that match the importance of different data bits. This resolves the contradiction by optimizing reliability for critical bits without uniformly increasing complexity across all bits.
Solution Approach 2:
The patent introduces dynamics by making the codebook or constellation structure adaptive to the specific error correction code being used. The mapping between bits and symbols is dynamically configured based on the error protection characteristics of the underlying FEC code, allowing the system to optimize performance for each specific code rather than using a fixed conventional structure. This dynamic adaptation improves reliability while keeping complexity manageable through systematic design.
2Productivity
If non-orthogonal multiple access is used, then spectrum efficiency is improved, but transmitter and receiver implementation complexity increases
Solution Approach 1:
The patent changes key parameters of the codebook or constellation design to optimize NoMA performance. By adjusting the mapping rules between bits and symbols, and configuring the error protection levels according to the specific NoMA scheme being used, the system achieves better spectrum efficiency while managing implementation complexity through parameter optimization rather than fundamental architectural changes.
Solution Approach 2:
The patent applies preliminary action by pre-configuring the codebook or constellation structure to account for the unequal error protection requirements before transmission occurs. The bit-to-symbol mapping is predetermined based on the error correction code characteristics, which simplifies the real-time processing at the transmitter and receiver while maintaining the spectrum efficiency benefits of NoMA.
3Reliability
If unequal error protection mapping is implemented, then coding gain is enhanced, but the complexity of codebook or constellation design increases
Solution Approach 1:
The patent applies segmentation by dividing the codebook or constellation into multiple segments or layers, each with different error protection levels. This segmentation allows the system to enhance coding gain for critical segments while keeping the overall design manageable by treating each segment separately. The segmented structure makes the complex design more tractable through modular organization.
Solution Approach 2:
The patent introduces asymmetry into the codebook or constellation design by creating unequal error protection across different bit positions. Rather than symmetric treatment of all bits, the design deliberately creates asymmetric protection levels that match the varying importance of different data bits. This asymmetric design enhances coding gain while providing a systematic approach that manages design complexity through purposeful asymmetry rather than random complexity.
Data Source
AI summary
In accordance with embodiments, methods for data communications are disclosed. A device obtains a forward error correction (FEC) encoded bit stream. The device maps the FEC encoded bit stream to produce a set of symbols according to a bit-to-symbol mapping rule. The bit-to-symbol mapping rule comprises a first mapper bit position associated with a first mapper error protection level and a second mapper bit position associated with a second mapper error protection level. The first mapper error protection level is greater than the second mapper error protection level. The device then transmits the set of symbols in the communications system.