LDPC HARQ Retransmissions With Self-Decodable Core Data
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Solution Overview
Problem
Wireless communication networks face congestion and reduced bandwidth due to increased demand from mobile devices, necessitating improved error correction techniques to enhance data throughput and efficient bandwidth usage.
Innovation Solution
The implementation of low-density parity-check codes with a quasi-cyclic lifting structure for encoding data, allowing for self-decodability through multiple redundancy versions of encoded data transmitted, where each version includes a different subset of core data, enabling reliable decoding at the receiver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple redundancy versions of encoded data are transmitted to improve reliability, then error correction capability is improved, but transmission time and complexity increase
Solution Approach 1:
The encoded data is divided into core data and non-core data portions. Different redundancy versions transmit different combinations of these segments, allowing the receiver to reconstruct the original data from any single complete version without requiring all transmissions.
Solution Approach 2:
The LDPC code is pre-configured with a quasi-cyclic lifting structure that ensures each redundancy version contains sufficient core data for self-decodability. This preliminary structuring enables immediate decoding upon receiving any single version without waiting for additional transmissions.
2Reliability
If multiple redundancy versions with different core data subsets are transmitted to enable self-decodability, then decoding reliability is improved, but device complexity increases
Solution Approach 1:
The LDPC code parameters are specifically configured with a quasi-cyclic lifting structure that transforms the code properties. This parameter transformation enables the code to support self-decodable redundancy versions while maintaining manageable encoding complexity through structured matrix operations.
3Reliability
If core data is reordered for retransmissions to ensure self-decodability, then error correction is improved, but processing complexity increases
Solution Approach 1:
The system dynamically reorders core data for different redundancy versions based on transmission requirements. The reordering pattern is predetermined and known to both transmitter and receiver, enabling flexible adaptation while maintaining decoding simplicity through structured repositioning rather than arbitrary rearrangement.
Data Source
AI summary
A technique for hybrid automatic repeat request (HARD) transmissions using low-density parity-check (LDPC) coding with self-decodable retransmissions is disclosed. Data is encoded using a low-density parity check code to obtain encoded data, where the encoded data includes core data and non-core data. The encoded data is then stored in a buffer for transmission. A plurality of redundancy versions of the encoded data is then transmitted, wherein all redundancy versions of encoded data include core data, and each of the transmitted redundancy versions of the encoded data includes at least a different subset of the core data. The core data may be reordered prior to obtaining at least one of the different subsets of core data. Each of the transmitted redundancy versions of the encoded data includes sufficient core data to permit self-decodability of the transmission at a receiver.