Concatenated Channel Coding with RA-Turbo Structure for Low Error Floors
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Solution Overview
Problem
Current channel coding methods in wireless communication systems face challenges in achieving Ultra Reliable Radio (URR) and Low Latency Radio (LLR) due to high error rates and increased complexity, particularly in next-generation communication systems that require rapid data transmission and reception.
Innovation Solution
A channel coding method using a concatenated code structure, specifically generating a first codeword with a repetition-accumulation (RA) code as an outer code and adding a tail bit to it, followed by generating a second codeword using a turbo code as an inner code, to minimize error rates and complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If LTE turbo code is used to improve error rate performance, then reliability is improved, but decoding complexity increases
Solution Approach 1:
The code is segmented into multiple regions (first region, second region, third region) with different coding rates. The first region uses a first coding rate, the second region uses a second coding rate, and the third region uses a third coding rate. This segmentation allows different parts of the data to be protected with appropriate complexity levels, improving overall reliability without uniformly increasing decoding complexity across all data.
Solution Approach 2:
Different regions of the codeword are assigned different coding rates based on their importance or channel conditions. The first region (systematic bits) uses one coding rate, while the second and third regions (parity bits) use different coding rates. This local differentiation optimizes error correction performance for critical data while managing overall decoding complexity.
2Reliability
If code complexity is increased to reduce error rate, then reliability is improved, but transmission delay increases
Solution Approach 1:
The codeword is divided into multiple regions with different coding rates, allowing parallel or sequential decoding of different regions. This segmentation enables the receiver to decode less critical regions faster while maintaining high reliability for critical regions, thereby reducing overall transmission delay without sacrificing error rate performance.
Solution Approach 2:
The patent applies different coding rates to different regions, using higher coding rates (less redundancy) for less critical data and lower coding rates (more redundancy) for critical data. This partial application of strong error correction only where needed reduces overall transmission delay while maintaining reliability for essential information.
3Ease of operation
If base station and UE loads are reduced, then ease of operation is improved, but error correction capability deteriorates
Solution Approach 1:
By segmenting the codeword into regions with different coding rates, the patent enables more efficient resource allocation and processing. The base station and UE can focus computational resources on decoding the most critical regions with higher priority, reducing overall processing loads while maintaining strong error correction capability for essential data through the first region's coding scheme.
Data Source
AI summary
Disclosed herein is a concatenated code encoding method for improving a turbo code. The concatenated code encoding method of the present disclosure includes encoding an input signal based on a repetition-accumulation (RA) code as an outer code, adding a tail bit to the encoded input signal, and encoding the encoded input signal based on the a turbo code. The concatenated code encoding method may further include interleaving the encoded input signal after application of the outer code.