LDPC Decoding Prediction Using LLR Histograms to Cut Power

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Solution Overview

Problem

LDPC decoding in wireless communications systems consumes significant power, particularly in cases where decoding fails, and this power consumption increases with higher bandwidths and retransmissions, posing a challenge for power efficiency.

Innovation Solution

Predicting the success or failure of LDPC decoding based on received log likelihood ratio (LLR) statistics to configure the decoder appropriately, thereby avoiding unnecessary decoding attempts and reducing power consumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If LDPC decoding is performed on all received code blocks, then decoding reliability is improved, but power consumption increases significantly

Engineering Contradiction:

Improvedecoding reliabilityVSAvoidpower consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent applies preliminary action by performing LLR histogram analysis before LDPC decoding to predict decoding success probability. This preliminary assessment allows the system to configure the decoder appropriately in advance, avoiding unnecessary full decoding attempts and thereby reducing power consumption while maintaining decoding reliability.

Inventive Principle:

Principle #10Preliminary action

2Reliability

If LDPC decoding iterations are increased to improve decoding success rate, then reliability is improved, but power consumption increases

Engineering Contradiction:

Improvedecoding success rateVSAvoidpower consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent applies dynamics by making the LDPC decoder configuration dynamic based on predicted decoding success probability. The decoder adapts its operation mode (full decoding, partial decoding, or skipping) according to the channel conditions and code block characteristics, allowing the system to optimize between reliability and power consumption in real-time.

Inventive Principle:

Principle #15Dynamics

3Use of energy by moving object

If LLR histogram analysis is performed to predict decoding results, then power consumption is reduced by avoiding unnecessary decoding, but computational overhead is added

Engineering Contradiction:

Improvepower consumptionVSAvoidcomputational overhead

Core Design Contradiction:

Use of energy by moving objectVSDevice complexity

Solution Approach 1:

The patent introduces LLR histogram analysis as an intermediary step between signal reception and LDPC decoding. This intermediary mechanism provides a low-complexity prediction of decoding success probability, enabling the system to make informed decisions about whether to proceed with full decoding, thereby reducing overall power consumption while adding minimal computational overhead.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12519566B2Power saving using predictions related to low density parity check decoding success

Publication Date: 2026.01.06 QUALCOMM INC

AI summary

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a wireless node may receive a code block. The wireless node may predict a low density parity check (LDPC) decoding result for the code block in accordance with received log likelihood ratio (LLR) histogram information associated with the code block. The wireless node may configure an LDPC decoder in accordance with the predicted LDPC decoding result for the code block. Numerous other aspects are described.