Concatenated RS-Turbo Coding for Low-Latency 4G Backhaul
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Solution Overview
Problem
The increasing demand for high-speed connections in 4G wireless networks strains backhaul networks, requiring efficient Bit-Error-Rate (BER) performance that traditional technologies struggle to meet, especially in supporting flexible channel bandwidths and reducing network latency.
Innovation Solution
The implementation of error control coding mechanisms using Reed-Solomon (RS) coding followed by turbo coding, with Cyclic Redundancy Check (CRC) parity bits added before RS coding, and the use of a transmitter and receiver circuit comprising Digital Signal Processors (DSPs) for encoding and decoding, ensuring efficient forward error correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional error control coding is used in backhaul networks, then device complexity is reduced, but Bit-Error-Rate performance deteriorates and cannot meet 4G network requirements
Solution Approach 1:
The error control coding process is segmented into multiple distinct functional blocks: CRC parity bit generator, RS coder, interleaver, and turbo encoder. Each block performs a specific operation on the data stream, allowing the system to achieve high BER performance through the combination of multiple simpler coding schemes rather than relying on a single complex algorithm.
Solution Approach 2:
CRC parity bits are generated preliminarily before RS coding is applied. This preliminary error detection capability allows the system to identify and handle certain error patterns early in the processing chain, improving overall BER performance while maintaining a structured approach to error control.
2Productivity
If higher data rates are implemented in 4G networks, then productivity increases, but network latency increases and backhaul network strain increases
Solution Approach 1:
The data stream is segmented into manageable blocks that are processed through the error control coding pipeline. The RS coder divides data into RS blocks, and the interleaver further segments these blocks for turbo encoding. This segmentation allows parallel processing and efficient throughput while maintaining low latency through optimized block sizes.
Solution Approach 2:
The system utilizes configurable parameters including RS block sizes, code rates, and interleaving patterns that can be adjusted to optimize the balance between data rate and latency. By changing these parameters, the network can adapt to different traffic conditions and maintain high productivity while minimizing time loss.
3Adaptability or versatility
If flexible channel bandwidths are supported, then adaptability increases, but device complexity and processing requirements increase
Solution Approach 1:
The error control coding system is designed with universal components that can handle multiple channel bandwidth configurations. The RS coder, interleaver, and turbo encoder are implemented as multi-functional blocks that can process data at various rates and block sizes, allowing the system to adapt to different bandwidth requirements without requiring separate dedicated hardware for each configuration.
Data Source
AI summary
A system and method for providing error control coding for backhaul applications are disclosed. Data is first encoded using Reed-Solomon (RS) coding. The output RS blocks are then turbo coded. The size of the output RS blocks is selected to match the input of the turbo encoder. The bits from the RS blocks may be interleaved to create the input turbo blocks. Cyclic Redundancy Check (CRC) parity bits may be added to the data prior to RS coding.