Adaptive CRC Activation for Joint BLER and FAR Control
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Solution Overview
Problem
Existing 5G communication systems face challenges in achieving simultaneous optimization of Bit/Block Error Rate (BLER) and False Alarm Rate (FAR) for critical applications like URLLC and smart factory, as extending CRC length complicates implementation and current methods fail to jointly minimize both metrics effectively.
Innovation Solution
A method that determines the activation state of CRC based on the distribution properties of decoded sequences, using a threshold probability to decide when to perform CRC checks, thereby optimizing BLER and FAR without increasing CRC bit length.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If CRC length is extended to reduce False Alarm Rate, then FAR is reduced, but device complexity increases
Solution Approach 1:
The patent changes the parameter of CRC check activation from a fixed always-on state to a dynamic state determined by distribution property comparison. By comparing actual distribution properties of decoded sequences against reference distribution properties and evaluating against a threshold probability, the system adapts CRC activation to channel conditions, achieving low FAR without increasing CRC length or complexity
Solution Approach 2:
The patent introduces dynamic CRC activation based on real-time distribution property analysis. The system continuously monitors the distribution properties of decoded sequences and dynamically adjusts whether to perform CRC checks, transforming the static CRC mechanism into a dynamic adaptive process that optimizes both reliability and complexity
2Reliability
If CRC check is always performed to reduce Bit/Block Error Rate, then BLER is reduced, but computational complexity increases
Solution Approach 1:
The patent applies partial CRC checking by performing CRC checks only when distribution property comparison indicates a high probability of decoding errors. Instead of always performing full CRC checks, the system selectively applies CRC validation based on the evaluated probability threshold, reducing unnecessary computational overhead while maintaining error detection capability
Solution Approach 2:
The patent implements a feedback mechanism where the distribution properties of decoded sequences are continuously monitored and fed back to control CRC activation. The system evaluates the actual distribution properties against reference values, uses the threshold probability to determine decoding success, and adjusts CRC activation accordingly, creating a closed-loop control system that optimizes BLER performance
3Reliability
If distribution property comparison is used to optimize CRC activation, then both BLER and FAR are optimized, but measurement precision requirements increase
Solution Approach 1:
The patent transforms the complex multi-dimensional distribution property comparison into a simplified threshold probability evaluation. By changing the parameter from direct distribution property analysis to a derived probability metric, the system maintains measurement precision while simplifying the decision-making process for CRC activation
Data Source
AI summary
Embodiments of the present disclosure relate to devices, methods, apparatus and computer readable storage media of CRC optimization. The method includes generating a set of decoded sequences of an encoded signal received from a second device; determining an activation state of a cycle redundant check based on an actual distribution property associated with the set of decoded sequences and a reference distribution property associated with the set of decoded sequences; and determining a likelihood of successful decoding at least based on the activation state. In this way, the FAR can be reduced and the expected joint FAR and BLER optimization can be achieved.


