Predictive Radio Link Recovery for Beam Failure Latency
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Solution Overview
Problem
In high-frequency wireless communication environments, radio link failures and beam failures lead to low reliability and high latency, which are not effectively addressed by existing recovery procedures, resulting in inadequate data performance.
Innovation Solution
A wireless device uses AI/ML to predict radio link problems and proactively initiates recovery procedures based on a radio link monitoring configuration, determining a remaining time to a future failure point and performing recovery actions accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If AI/ML is used to predict radio link problems proactively, then connection robustness is improved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by using AI/ML models to predict radio link failures before they occur. The system performs predictions in advance, identifies potential failure time points, and prepares recovery actions proactively, thereby improving connection robustness while managing device complexity through early intervention.
Solution Approach 2:
The patent implements self-service by enabling the wireless device to autonomously perform radio link monitoring, AI/ML-based predictions, and self-initiated recovery procedures. The device monitors its own link status, predicts failures using embedded AI/ML models, and autonomously executes recovery actions without requiring external network control, thus improving reliability while keeping the system self-managing.
2Loss of time
If proactive radio link recovery is performed, then latency is reduced, but device complexity increases
Solution Approach 1:
The patent reduces latency by performing preliminary recovery actions before radio link failures occur. The AI/ML model predicts failure time points, and the device prepares and executes recovery procedures in advance, eliminating the need for reactive recovery after failure, thus significantly reducing connection restoration time.
Solution Approach 2:
The device autonomously performs the entire proactive recovery process including monitoring, prediction, and execution of recovery actions without network intervention. This self-service capability enables rapid autonomous response to predicted failures, reducing latency while managing device complexity through integrated autonomous operation.
3Reliability
If network commands are used to avoid predicted failures, then reliability is improved, but response time may be insufficient
Solution Approach 1:
The patent resolves the response time issue by implementing autonomous self-service recovery at the device level. Instead of relying on network commands that may arrive too late, the device autonomously detects predicted failures and immediately executes recovery procedures locally, ensuring rapid response while maintaining high reliability through AI/ML-based predictions.
Data Source
AI summary
A method and apparatus for predictive radio link problem in a wireless communication system is provided. The wireless device receives, from a network, a radio link monitoring configuration for a predictive radio link problem. The wireless device derives the predictive radio link problem for a future time point based on the radio link monitoring configuration. The wireless device determines a remaining time from a current time point to the future time point. The wireless device performs a procedure related to radio link recovery based on the remaining time.