Frame Line Coding With Running Disparity and Mixed Hamming Distance
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Solution Overview
Problem
Communication systems face a trade-off between throughput and error resilience due to the selection of line-codes, where higher error resilience results in lower code rate and vice versa, and maintaining synchronization during idle signals is challenging due to the need for line-code compliant idle signals.
Innovation Solution
A communication system that encodes frames using two line-codes with different Hamming distances for different parts of a frame, while maintaining absolute running disparity within bounds, allowing for flexible error resilience and bandwidth efficiency based on channel conditions and data type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a line-code with higher minimal Hamming distance is used, then error resilience is improved, but code rate decreases and throughput is reduced
Solution Approach 1:
The frame is divided into multiple parts, each encoded with a different line-code having appropriate Hamming distance for that specific part. Critical parts use higher Hamming distance codes for error resilience, while non-critical parts use lower Hamming distance codes for higher throughput.
Solution Approach 2:
Different parts of the frame are assigned different line-codes with locally optimized Hamming distances according to their specific requirements. This allows each part to have the appropriate error protection level without unnecessarily reducing the overall throughput.
2Adaptability or versatility
If different line-codes are used for different parts of a frame, then flexibility in error resilience is improved, but maintaining running disparity becomes more complex
Solution Approach 1:
The encoder uses feedback from the running disparity state to select appropriate code words from each line-code. The running disparity is continuously monitored and fed back to guide the selection of code words that maintain the disparity within acceptable bounds while using different line-codes for different frame parts.
Solution Approach 2:
The system dynamically switches between different line-codes for different parts of the frame based on the data type and channel conditions. The encoder adapts the line-code selection and code word selection in real-time to maintain running disparity while providing flexible error resilience.
Data Source
AI summary
Methods and systems for encoding a frame utilizing at least two line-codes having different minimal Hamming distances. The method includes maintaining over the frame absolute value of running disparity lower than or equal to K, while: encoding a first part of the frame utilizing a first line-code having a binary code word length N′ and a minimal Hamming distance D′; and encoding a second part of the frame utilizing a second line-code having a binary code word length N″ and a minimal Hamming distance D″ lower than D′. Where the value of K is lower than both N′/2 and N″/2.