Autonomous Beam Failure Indicator Counting in Wireless UEs
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Solution Overview
Problem
Current wireless communication systems lack flexibility in beam failure detection (BFD) procedures, as user equipment (UE) relies on pre-configured criteria for incrementing beam failure indicators (BFI) counts, which can lead to latency and inaccurate detection due to inflexible BFI counting schemes.
Innovation Solution
The UE autonomously selects a BFI counting scheme from a set of available schemes, allowing for dynamic incrementing of BFI counts based on error rates and channel measurements, and communicates this selection to the base station, enabling more sophisticated counting methods like machine learning-based approaches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the UE uses pre-configured BFI counting schemes, then the system operation is simplified, but the BFD accuracy and responsiveness deteriorate due to inflexibility
Solution Approach 1:
The patent applies dynamics by transitioning from static pre-configured BFI counting schemes to dynamic autonomous selection. The UE now autonomously selects BFI counting schemes based on real-time channel conditions, measurement occasions, and error rates, allowing the system to adapt flexibly to varying operational scenarios while maintaining simplified base station configuration.
Solution Approach 2:
The patent implements parameter changes by allowing the UE to modify BFI counting parameters (such as counting thresholds, measurement intervals, and error rate thresholds) autonomously based on observed channel conditions. This enables precise adaptation of BFD behavior to current link quality without requiring base station reconfiguration.
2Device complexity
If the UE uses pre-configured BFI counting schemes, then the device complexity is reduced, but the latency and responsiveness to beam failures worsen
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple BFI counting schemes at the UE before operation. These schemes are prepared in advance with different parameters and characteristics, allowing the UE to quickly select an appropriate scheme without complex real-time calculations, thus reducing both device complexity and detection latency.
Solution Approach 2:
The patent implements self-service by enabling the UE to autonomously monitor its own beam conditions and select appropriate BFI counting schemes without base station intervention. This self-service capability allows rapid response to beam failures while keeping the base station simple and reducing signaling overhead.
3Reliability
If the UE autonomously selects BFI counting schemes, then the BFD accuracy and latency are improved, but the device complexity increases
Solution Approach 1:
The patent applies dynamics by implementing autonomous BFI counting scheme selection that adapts to changing channel conditions. The UE dynamically adjusts counting parameters based on real-time measurements, improving BFD reliability while maintaining manageable complexity through structured decision algorithms.
Solution Approach 2:
The patent implements feedback mechanisms where the UE continuously monitors reference signal measurements and error rates, using this feedback to autonomously select and adjust BFI counting schemes. This closed-loop approach improves detection reliability while keeping the algorithm complexity bounded through systematic feedback processing.
4Adaptability or versatility
If the UE autonomously selects BFI counting schemes, then the system adaptability is improved, but the signaling overhead and base station control requirements worsen
Solution Approach 1:
The patent implements self-service by enabling the UE to autonomously select and manage BFI counting schemes without continuous base station signaling. The base station only provides initial configuration and receives BFD indications, significantly reducing signaling overhead while maintaining high adaptability through UE autonomous decision-making.
Solution Approach 2:
The patent applies segmentation by separating the BFD functionality into independent configurable schemes. Each scheme can be selected and applied independently based on specific channel conditions, allowing fine-grained adaptability without requiring comprehensive base station control or extensive signaling for each adjustment.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. In some systems, a user equipment (UE) may receive a periodic reference signal from a base station and may measure the periodic reference signal as part of a beam failure detection (BFD) procedure. To detect a beam failure, the UE may autonomously select a beam failure indicator (BFI) counting scheme from a set of BFI counting schemes and may increment a BFI count in accordance with the selected BFI counting scheme and based on measuring the reference signal. The different BFI counting schemes of the set of BFI counting schemes may feature different techniques or methods for incrementing the BFI count per one or more BFI reports. As such, the UE may selectively choose how to weight different sets of one or more BFI reports in terms of contribution to the BFI count, which may improve BFD detection at the UE.