Inter-Codeword FEC Coding for High Gain With Lower Decoding Delay
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional coding technologies face challenges in achieving both high coding gain and low delay simultaneously in data communication systems.
Innovation Solution
The proposed coding method forms a first codeword with 2n bits, where n bits are from m previously formed codewords, and the remaining n bits include (k−n) information bits and (2n−k) check bits. This method ensures that each bit in the codeword is protected by multiple codewords, improving decoding speed and reducing delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional FEC coding is used to ensure high coding gain, then error correction capability is improved, but decoding delay increases
Solution Approach 1:
The patent segments the codeword into multiple parts, where each part can be independently decoded. Specifically, the codeword is divided such that different portions can be decoded at different times, allowing the system to achieve error correction capability while reducing the delay for obtaining decoded results. This segmentation enables partial decoding without waiting for the entire codeword to be received and processed.
2Reliability
If more check bits are added to improve coding gain, then error correction capability is enhanced, but codeword length and processing complexity increase
Solution Approach 1:
The patent applies partial action by not requiring the entire codeword to be decoded for obtaining useful information. Instead, portions of the codeword can be decoded independently to provide error correction capability. This approach achieves sufficient coding gain without the need to process the complete codeword, thereby reducing coding complexity and processing overhead.
3Loss of time
If codewords share more bits to improve decoding speed, then delay is reduced, but coding gain may be compromised
Solution Approach 1:
The patent applies local quality by allowing different portions of the codeword to have different sharing characteristics. Specifically, certain bits are shared between adjacent codewords to enable faster decoding, while other bits maintain full error protection. This differentiated approach ensures that error correction capability is maintained in critical areas while allowing speed optimization in other areas, thus balancing coding gain and decoding speed.
Data Source
AI summary
A coding method for data communication is provided, and may be applied to a plurality of scenarios such as a metro network, a backbone network, and a data center interconnection. The method includes: forming a first codeword, where the first codeword includes n image bits and n to-be-transmitted bits, the n image bits are selected from to-be-transmitted bits in m source codewords, the source codeword is a codeword formed before the first codeword, both n and m are positive integers, and n>m; and sending the n to-be-transmitted bits in the first codeword. The bit in the first codeword is protected by a plurality of codewords generated at different moments, and a coding gain effect is better. In addition, the bit in the codeword is protected by different quantities of codewords.