Code Block Segmentation for Concatenated Turbo-RS Error Correction
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Solution Overview
Problem
Current Turbo-code based forward error correction (FEC) schemes in wireless communication networks, such as those used in WiMax, 3G, and LTE, face challenges in achieving low Block Error Rate (BLER) and high Signal-to-Noise Ratio (SNR) environments, which are exacerbated by the error floor in turbo codes, necessitating a more robust error correction mechanism for efficient data transmission in backhaul networks.
Innovation Solution
The implementation of a concatenated Turbo and Reed-Solomon (RS) coding scheme, where RS coding is used as an outer code to correct residual errors from turbo codes, enhancing the error correction capability and reducing the number of Hybrid ARQ retransmissions, thereby minimizing latency and achieving low BLER.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If Turbo-code based FEC is used, then device complexity is reduced and ease of operation is improved, but reliability deteriorates due to error floor in high SNR environments
Solution Approach 1:
The transport block is segmented into multiple code blocks, each independently encoded with Turbo code. This segmentation allows the system to apply RS coding at the code block level to correct residual errors, thereby improving reliability without significantly increasing overall system complexity.
Solution Approach 2:
The patent employs a composite coding scheme combining Turbo code and RS code. The Turbo code provides basic error correction while RS code acts as an outer code to correct residual errors, creating a hybrid error correction mechanism that achieves low BLER in high SNR environments while maintaining reasonable complexity.
2Reliability
If concatenated Turbo and RS coding is implemented, then reliability is improved by reducing BLER, but device complexity increases
Solution Approach 1:
The system segments the transport block into multiple code blocks and applies Turbo coding to each segment independently. This segmentation strategy allows RS coding to be applied efficiently at the code block level rather than on the entire transport block, reducing the computational complexity of the concatenated coding scheme.
Solution Approach 2:
RS coding is applied selectively to code blocks that contain residual errors after Turbo decoding, rather than uniformly to all code blocks. This localized application of RS coding improves reliability where needed while minimizing the overall complexity increase.
3Reliability
If code block segmentation is applied, then reliability is improved through better error correction, but processing time increases
Solution Approach 1:
The transport block is divided into multiple code blocks that can be processed independently and in parallel. This segmentation enables concurrent Turbo encoding and RS encoding operations, reducing the overall processing time while maintaining the reliability benefits of code block-level error correction.
Solution Approach 2:
Turbo encoding is performed on all code blocks before RS encoding. This preliminary action allows the system to identify which code blocks require RS correction after decoding, enabling selective RS processing that reduces total processing time compared to applying RS coding to all blocks uniformly.
Data Source
AI summary
A method for performing code block segmentation for wireless transmission using concatenated forward error correction encoding includes receiving a transport block of data for transmission having a transport block size, along with one or more parameters that define a target code rate. A number N of inner code blocks needed to transmit the transport block is determined. A number M—outer code blocks may be calculated based on the number of inner code blocks and on encoding parameters for the outer code blocks. The transport block may then be segmented and encoded according to the calculated encoding parameters.