LDPC Decoder Precision Switching for Low-Power Channel Decoding
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Solution Overview
Problem
Existing low-density parity-check (LDPC) decoding methods do not efficiently adapt to varying signal-to-noise ratios (SNR) in data channels, leading to suboptimal precision and increased power consumption.
Innovation Solution
A method and decoder architecture that dynamically adjust numeric precision of LDPC decoding based on the SNR of the data channel, using a reconfigurable precision approach to optimize processing and reduce power consumption by enabling high precision only when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high numeric precision is used for LDPC decoding, then decoding accuracy is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic precision adjustment where the numeric precision of LDPC decoding is adaptively changed based on real-time channel quality assessment. The system transitions between different precision modes (e.g., high precision, medium precision, low precision) according to the evaluated channel conditions, allowing the decoder to use high precision only when necessary for poor channel conditions while consuming less power during good channel conditions.
Solution Approach 2:
The system changes the numeric precision parameter of the decoder based on channel quality metrics. By monitoring channel conditions and adjusting the precision parameter dynamically, the system optimizes the trade-off between decoding accuracy and power consumption, ensuring high accuracy when channel quality degrades while minimizing power consumption during favorable conditions.
2Reliability
If fixed high precision decoding is used, then decoding reliability is improved, but processing efficiency decreases
Solution Approach 1:
The patent employs dynamic precision adjustment where the decoder adapts its numeric precision based on real-time channel quality assessment. This allows the system to maintain high decoding reliability when channel conditions are poor by using high precision, while improving processing efficiency during good channel conditions by switching to lower precision modes, thus optimizing the reliability-efficiency trade-off dynamically.
Solution Approach 2:
The system dynamically changes the precision parameter of the LDPC decoder according to channel quality metrics. By adjusting this parameter based on actual channel conditions rather than using a fixed setting, the system ensures high reliability when needed while maximizing processing efficiency during favorable conditions.
3Use of energy by moving object
If adaptive precision adjustment is implemented, then power efficiency is improved, but device complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the decoder continuously monitors channel quality and uses this information to adjust its numeric precision. The channel quality assessment unit evaluates received signals and provides feedback to the precision selection logic, which then adjusts the decoding precision accordingly. This feedback-driven approach enables power-efficient operation while maintaining manageable system complexity through structured control logic.
Solution Approach 2:
The system introduces an intermediary channel quality assessment unit that bridges the received signal and the precision selection mechanism. This intermediary component evaluates channel conditions and translates them into appropriate precision level selections, simplifying the overall control logic and making the adaptive precision system more manageable while achieving power efficiency.
4Measurement precision
If channel quality evaluation is performed, then precision adaptation is improved, but processing overhead increases
Solution Approach 1:
The patent performs channel quality evaluation in parallel with or before the main decoding process, preparing the precision selection information in advance. By assessing channel quality proactively and determining the appropriate precision level before full decoding begins, the system minimizes processing overhead and idle time during the actual decoding operation, improving overall efficiency while maintaining accurate precision adaptation.
Data Source
AI summary
There is provided, in accordance with an embodiment, a method of decoding codewords in conjunction with a low-density parity-check (LDPC) code that defines variable nodes and check nodes, the method comprising receiving a codeword over a data channel; evaluating quality of the data channel; and iteratively updating values of the variable nodes to decode the codeword; wherein the values of the variable nodes are updated at different levels of numeric precision depending on the evaluated quality of the data channel.