Joint Error Correction Coding for Low-Latency 6G Decoding
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Solution Overview
Problem
Current coding methods for 6G wireless communications face challenges in achieving ultra-reliability and low latency while supporting diverse quality of service levels, as HARQ-based approaches incur long round-trip delays and hard-output decoders struggle with second decoding attempts without retransmissions.
Innovation Solution
Implement joint forward error correction coding with self-decodable and joint decodable codewords, allowing for further decoding operations after initial failures without retransmissions, and providing unequal error protection for different payloads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If HARQ-based approaches are used to achieve ultra-reliability, then block error rate is reduced, but round-trip delay increases
Solution Approach 1:
The codeword is segmented into a first portion and a second portion, where the first portion enables self-decoding and the second portion enables joint decoding. This segmentation allows the receiver to attempt decoding of the first portion independently without waiting for potential retransmissions, thereby reducing round-trip delay while maintaining reliability through the joint decoding capability of the second portion.
2Loss of time
If code rate is reduced to meet low-latency requirements, then latency is reduced, but spectrum efficiency deteriorates
Solution Approach 1:
Different portions of the codeword are assigned different decoding qualities and functions. The first portion is designed for self-decoding with local error correction capability, while the second portion is designed for joint decoding to enhance overall reliability. This local quality differentiation allows the system to maintain higher code rates for better spectrum efficiency while meeting latency requirements through the self-decodable first portion.
3Speed
If hard-output decoders are used for sequential decisions, then decoding speed is improved, but ability to support second decoding attempt deteriorates
Solution Approach 1:
The decoding system dynamically switches between self-decoding mode and joint decoding mode based on the decoding outcome of the first portion. The hard-output decoder performs fast sequential decisions for the first portion, and if decoding fails, the system dynamically transitions to use the second portion for joint decoding, thereby maintaining both decoding speed and adaptability for second decoding attempts.
Data Source
AI summary
Joint error correction coding involves error correction encoding of multiple individual payloads to generate a codeword. The codeword includes a self-decodable encoded block generated by error correction encoding a first individual payload, and another encoded block generated by error correction encoding a second individual payload with which a portion of the first individual payload is combined. The portion of the first individual payload that is to be combined with the second individual payload is determined based on an ordering of bits of the first individual payload. The individual payloads or encoded blocks are decodable independently of each other, and the self-decodable encoded block and the other encoded block are also jointly decodable.