PDCCH Channel Reencoding for Invalid Signal Filtering
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Solution Overview
Problem
Current techniques for multi-UE testing of base stations consume significant computing and networking resources due to computationally intensive PDCCH blind detection, leading to unnecessary messaging and inefficiencies in decoding physical downlink control channel signals.
Innovation Solution
A testing system performs channel reencoding to reduce invalid PDCCH signals by decoding and reencoding encoded bits, calculating error probabilities, and determining a bit mismatch ratio to discard invalid signals, thereby reducing the number of messages passed between special-purpose and general-purpose processors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If PDCCH blind detection is performed using current techniques, then decoding of physical downlink control channel signals is achieved, but computing and networking resources are consumed excessively
Solution Approach 1:
The patent applies preliminary action by performing channel reencoding and bit mismatch ratio calculation before the full PDCCH decoding process. The testing system pre-calculates the bit mismatch ratio between decoded and reencoded bits, and uses this preliminary result to filter out invalid PDCCH candidates before committing significant computing resources to complete decoding, thereby reducing overall computing resource consumption while maintaining decoding reliability
Solution Approach 2:
The patent extracts the validation step from the main PDCCH decoding flow by separating the channel reencoding and bit mismatch ratio calculation as an independent preliminary process. This extracted validation mechanism operates independently to identify and filter invalid candidates, allowing the main decoding process to skip unnecessary computations on invalid signals, thus reducing computing resource usage while preserving decoding accuracy
2Reliability
If PDCCH blind detection is performed comprehensively, then all valid PDCCH signals are detected, but the number of messages passed between processors increases unnecessarily
Solution Approach 1:
The patent performs preliminary validation by calculating the bit mismatch ratio before initiating full PDCCH processing and message passing between processors. Invalid candidates are filtered out in advance using this preliminary check, so that subsequent processing stages receive only valid candidates, thereby reducing the number of messages that need to be passed between special-purpose and general-purpose processors while maintaining complete detection of valid signals
Solution Approach 2:
The patent extracts the candidate validation function from the main processing pipeline by implementing it as a separate preliminary stage. This extracted validation mechanism uses channel reencoding and bit mismatch calculation to identify invalid candidates, removing them from the set of candidates that require further processing and inter-processor communication, thus reducing message quantity without compromising detection completeness
3Productivity
If channel reencoding and bit mismatch calculation are performed, then invalid PDCCH signals are filtered, but additional processing steps are added
Solution Approach 1:
The patent applies self-service by having the decoded bits serve their own validation through channel reencoding. The same decoding infrastructure is used to perform reencoding and compare results, allowing the system to validate its own output without requiring separate external validation hardware or complex additional processing circuits. This self-validating approach improves detection efficiency by filtering invalid signals while adding minimal processing complexity
Solution Approach 2:
The patent merges the channel reencoding function with the existing decoding infrastructure. Instead of adding completely separate validation hardware, the reencoding operation is integrated into the existing processing pipeline, sharing resources and operations with the decoding process. This merging approach enables invalid signal filtering through bit mismatch calculation while avoiding the need for duplicative processing equipment, thus improving productivity with limited increase in device complexity
Data Source
AI summary
A device may receive a PDCCH signal, may decode encoded bits of the PDCCH signal to generate coded bits, may reencode the coded bits, and may calculate a detection error probability of each coded bit at an output of soft demodulation. The device may calculate a channel decoding error probability that cyclic redundancy check bits are still attached to the coded bits, and may calculate an error probability of channel reencoding, of each coded bit, due to error propagation of polar decoding and reencoding. The device may calculate a probability density of a BMR associated with the coded bits, and may calculate a threshold based on the detection error probability, the channel decoding error probability, the error probability of channel reencoding, and the probability density of a BMR. The device may determine that the PDCCH signal is invalid based on the BMR being greater than the threshold.