Predictive Beam Configuration Failure Detection in 5G NR
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Solution Overview
Problem
Existing wireless communication systems face inaccuracies in predictive beam configurations, leading to inefficiencies and potential failures in beam management, particularly in next-generation radio communication systems like 5G NR, due to mismatches between predicted and actual beam identifications.
Innovation Solution
User equipment (UE) is equipped with mechanisms to detect and report failures in predictive beam configurations by identifying mismatches between predicted and actual beams, sending failure messages to the base station, and performing beam failure recovery procedures, utilizing layer 1 reference signal reception power (L1-RSRP) measurements to improve beam configuration accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If predictive beam configuration is used to improve beam management efficiency, then beam selection speed is improved, but configuration accuracy deteriorates due to mismatches between predicted and actual beams
Solution Approach 1:
The patent implements a feedback mechanism where the UE detects beam configuration failures by comparing predicted beams with actual beams, reports these failures to the BS, and triggers recovery procedures. This closed-loop feedback system allows the system to maintain high beam selection speed through prediction while correcting accuracy issues when mismatches occur, resolving the contradiction between speed and precision.
Solution Approach 2:
The system performs preliminary beam prediction before actual beam selection to enable faster beam management. By pre-configuring predicted TCI states and beam information, the UE can quickly select beams without real-time computation, improving speed. The preliminary action is validated through subsequent detection and reporting mechanisms that ensure accuracy, thus resolving the speed-accuracy trade-off.
2Productivity
If beam prediction mechanisms are implemented to enhance communication efficiency, then data transmission speed is improved, but system reliability deteriorates due to prediction failures
Solution Approach 1:
The patent prepares for potential prediction failures by implementing advance detection and reporting mechanisms. The UE is configured to detect beam mismatches and report failures before they affect data transmission, allowing the BS to initiate recovery procedures proactively. This beforehand cushioning ensures that while high-speed prediction is used for productivity, reliability is maintained through preventive measures.
Solution Approach 2:
A feedback loop is established where the UE continuously monitors beam configuration accuracy, compares predicted versus actual beams, and reports failures to the BS. This feedback mechanism enables the system to maintain high data transmission speeds through efficient prediction while ensuring reliability by quickly detecting and correcting configuration errors, thus resolving the productivity-reliability contradiction.
3Measurement precision
If failure detection and reporting mechanisms are added to improve beam configuration accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The failure detection and reporting mechanisms leverage existing UE functions and resources. The UE uses its existing beam detection capabilities, reference signal reception power measurements, and processing resources to perform accuracy verification and failure reporting. By making existing components multi-functional (used both for normal operation and failure detection), the patent improves measurement precision without proportionally increasing device complexity.
Data Source
AI summary
A user equipment (UE) that includes one or more non-transitory computer-readable media that stores computer-executable instructions for reporting failures in predictive beam configurations received from a base station (BS) and a processor is provided. The processor is configured to receive, from the BS, a configuration that configures the UE with several predicted transmission configuration indication (TCI) states divided into several subsets of predicted TCI states detect a first beam associated with a first reference signal resource. The processor is configured to determine the identification of a second predicted beam associated with a first predicted TCI state in a first subset of predicted TCI states that is associated with the first reference signal resource, determine that an identification of the detected first beam does not match the identification of the second predicted beam, and send a failure message indicating to the BS that the configuration is invalid.


