Turbo Decoder Negative Stopping Criteria for Power-Limited Decoding
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Solution Overview
Problem
Wireless communication devices face challenges in determining when to stop turbo decoding, especially under poor signal conditions, leading to excessive power consumption and potential performance degradation.
Innovation Solution
Implementing a negative stopping criterion for turbo decoding, which terminates iterations early when successful decoding is unlikely, allowing for increased iterations in marginal conditions and reducing power consumption in link budget limited devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the maximum number of iterations is increased to improve decoding reliability in marginal signal conditions, then the probability of successful decoding is improved, but power consumption increases excessively
Solution Approach 1:
The patent implements dynamic stopping criteria that adaptively adjust the number of turbo decoding iterations based on real-time signal quality assessment. The system transitions from a static maximum iteration approach to a dynamic decision-making process that terminates decoding early when signal conditions are poor, thereby reducing power consumption while maintaining decoding reliability in marginal conditions.
Solution Approach 2:
The patent changes the parameter of iteration count from a fixed maximum value to a variable parameter that is adjusted based on signal quality metrics. By monitoring signal characteristics and dynamically modifying the stopping criterion, the system optimizes the balance between decoding reliability and power consumption across different operating conditions.
2Reliability
If turbo decoding iterations are performed for a fixed maximum duration to ensure adequate processing, then decoding completeness is improved, but power consumption increases in poor signal conditions where decoding is unlikely to succeed
Solution Approach 1:
The patent applies preliminary action by assessing signal quality before committing to a full maximum-duration decoding process. The system performs an initial evaluation of signal characteristics and predicts the likelihood of successful decoding, then decides whether to proceed with full iterations or terminate early, thereby avoiding wasted energy on doomed decoding attempts.
Solution Approach 2:
The patent implements feedback mechanisms that continuously monitor decoding progress and signal quality metrics during the turbo decoding process. Based on this feedback, the system dynamically adjusts the stopping criterion to terminate iterations when success is unlikely, preventing energy waste while ensuring adequate processing when decoding is promising.
3Use of energy by moving object
If the number of iterations is reduced to decrease power consumption, then energy efficiency is improved, but decoding performance degrades in moderate signal conditions
Solution Approach 1:
The patent employs dynamic stopping criteria that adaptively determine the optimal number of iterations based on real-time signal quality assessment. This dynamic approach allows the system to reduce iterations and save energy in poor conditions while automatically increasing iterations to maintain decoding performance in moderate signal conditions, thereby resolving the trade-off between energy efficiency and decoding performance.
Data Source
AI summary
This disclosure relates to providing negative stopping criteria for turbo decoding for a wireless device. A device may wirelessly receive turbo coded data. Turbo decoding may be performed on the turbo coded data. Performing turbo decoding may use one or more negative stopping criteria for early termination of the turbo decoding for each code block of the turbo coded data. The negative stopping criteria may be selected to terminate the turbo decoding of a code block early under poor wireless medium conditions. Turbo decoding of a code block may be terminated early if the one or more negative stopping criteria for the code block are met.