PDCCH CRC Decoding Confidence Screening for False Detection
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Solution Overview
Problem
In 5G telecommunications systems, the cyclic redundancy check (CRC) used to decode physical downlink control channels (PDCCH) often fails to detect errors, leading to mis-detections and false alarms, which consume significant resources and prolong network testing procedures, especially in scenarios involving multiple user devices.
Innovation Solution
A method that determines a confidence value for passing CRC metrics by normalizing and averaging PM values, and using a machine learning model to assess whether the confidence value satisfies a threshold, allowing for the discarding of erroneous PMs and ensuring accurate transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If CRC is used to decode PDCCH payloads, then error detection capability is provided, but false detections and mis-detections occur consuming significant resources
Solution Approach 1:
The patent introduces path metrics (PM) as an intermediary indicator between the decoding process and CRC verification. The PM values, generated during successive cancellation list decoding, serve as a preliminary filter to assess candidate quality before CRC checking. This intermediary mechanism helps identify high-probability correct candidates, reducing the need for resource-intensive CRC re-verification of obviously incorrect candidates and thereby lowering overall resource consumption while maintaining reliable error detection.
2Measurement precision
If CRC checking is performed on all candidate PDCCH payloads, then accurate error detection is achieved, but network testing time is prolonged
Solution Approach 1:
The patent applies preliminary action by computing path metrics during the decoding process itself, before CRC verification. These PM values provide advance information about candidate quality, allowing the system to prioritize or skip CRC checking for certain candidates based on their PM scores. This preliminary assessment accelerates the overall testing process by avoiding unnecessary CRC operations on low-probability candidates while maintaining accurate error detection through selective verification.
3Adaptability or versatility
If multiple user device scenarios are tested, then system compatibility is verified, but resource consumption and testing duration increase significantly
Solution Approach 1:
The patent segments the testing process by introducing path metrics as a separate, computationally lighter assessment layer that operates independently of full CRC verification. This segmentation allows the system to quickly evaluate multiple user device scenarios using PM values, performing comprehensive compatibility verification across many candidates without subjecting each one to the full resource-intensive CRC checking process, thereby maintaining versatility while improving testing efficiency.
Data Source
AI summary
A network testing device may receive, from a base station, an encoded physical downlink control channel (PDCCH) payload and decode the encoded PDCCH payload to obtain candidate PDCCH payloads and to generate path metrics (PMs), wherein each PM of the PMs corresponds to one candidate PDCCH payload of the candidate PDCCH payloads. The network testing device may perform a cyclic redundancy check on each of the candidate PDCCH payloads to determine, from the PMs, a passing PM, and may determine, based on the PMs, a confidence value associated with the passing PM. The network testing device may discard, based on determining that the confidence value does not satisfy a threshold, the passing PM, or may output, based on determining that the confidence value satisfies the threshold, a candidate PDCCH payload corresponding to the passing PM. The network testing device may transmit, based on the candidate PDCCH payload, data to the base station.