Sectional CRC Coding for Wireless Decoding Error Detection
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Solution Overview
Problem
Current wireless communication technologies face limitations in decoding performance as data rates increase, particularly due to the lack of additional insights into error symptoms in convolutional coding, which hampers error detection and decoding complexity.
Innovation Solution
The implementation of sectional redundancy checks, which partition payloads into sections, derive redundancy check information for each section, and merge it with the payload to form a codeword, enabling enhanced error detection and decoding performance by providing additional granularity in CRC information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional CRC checking is used for error detection, then the overall false detection rate is maintained, but the decoding performance becomes a limiting factor at high data rates
Solution Approach 1:
The payload is divided into multiple sections, and separate CRC checks are performed on each section rather than using a single conventional CRC for the entire payload. This segmentation provides more granular error detection capability, enabling the system to identify and handle errors in specific sections without requiring complete retransmission, thereby improving decoding performance while maintaining reliability.
2Reliability
If more redundancy check information is added to improve error detection, then error detection capability improves, but decoding complexity increases
Solution Approach 1:
By segmenting the payload into multiple sections with individual CRC checks, the system achieves enhanced error detection capability without proportionally increasing overall decoding complexity. The segmented approach allows for selective processing where only sections with errors require additional handling, rather than increasing complexity for the entire decoding process.
Solution Approach 2:
Different sections of the payload can have different CRC check characteristics applied to them based on their specific requirements. This local quality approach allows the system to optimize error detection for critical sections while using simpler checks for less critical sections, thereby improving overall error detection capability without uniformly increasing decoding complexity across all data.
3Device complexity
If conventional single CRC approach is used, then device complexity is kept simple, but additional insights into error symptoms are lacking
Solution Approach 1:
The single CRC approach is replaced with multiple sectioned CRC checks, where each section generates its own CRC information. This segmentation provides additional insights into error symptoms by identifying which specific sections contain errors, thereby reducing information loss about error locations and characteristics while maintaining relatively simple device complexity through the modular structure.
Solution Approach 2:
The sectioned CRC information acts as an intermediary that provides detailed error symptom information between the physical transmission medium and the higher-layer protocols. Each section's CRC check results serve as intermediate information that guides error handling decisions, enabling more informed error recovery without requiring complex additional processing.
Data Source
AI summary
Certain aspects of the present disclosure relate to techniques and apparatus for increasing decoding performance and/or reducing decoding complexity. An exemplary method generally includes obtaining a payload to be transmitted, partitioning the payload into a plurality of payload sections, deriving redundancy check information for each respective payload section of the plurality of payload sections, merging the redundancy check information for each payload section with the plurality of payload sections to form a sequence of bits, and generating a codeword by encoding the sequence of bits using an encoder. Other aspects, embodiments, and features are also claimed and described.