RAN Prediction Validity Signaling With Confidence-Based Timing
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Solution Overview
Problem
Existing mobile telecommunication systems lack the ability to effectively manage and utilize AI/ML predictions in the RAN due to uncertainty in prediction reliability and confidence levels, which affects the usability and validity of predictions over time.
Innovation Solution
Implement a confidence-constrained framework that expresses prediction validity as a non-increasing function of time or confidence, allowing nodes to request and provide predictions with specified confidence levels and adjust timing or retrain models to meet requirements, using signaling mechanisms to handle prediction failures and abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If predictions are provided without confidence level indication, then the system is simpler to operate, but the reliability and usability of predictions deteriorates due to uncertainty in prediction reliability
Solution Approach 1:
The patent introduces confidence level indication as an intermediary element between the prediction generation system and the prediction consumer. This intermediary carries additional information about prediction reliability without fundamentally changing the core prediction mechanism, allowing nodes to assess and filter predictions based on their confidence levels.
Solution Approach 2:
The patent extends the prediction data structure by adding new parameters (confidence level, validity time) to existing prediction messages. This parameter expansion allows the system to express uncertainty and temporal constraints without redesigning the entire prediction framework, thereby improving reliability while maintaining operational simplicity.
2Adaptability or versatility
If predictions are made for future time points, then the system can plan ahead, but the validity of predictions deteriorates over time due to increasing uncertainty
Solution Approach 1:
The patent applies preliminary action by pre-calculating and indicating the validity time of predictions before they are consumed. This allows the receiving node to understand in advance how long the prediction remains reliable, enabling proper timing for decision-making and triggering re-prediction when validity expires.
Solution Approach 2:
The patent introduces dynamic validity management by making prediction validity time-dependent rather than static. The confidence level and validity indicators allow the system to adapt to changing conditions over time, automatically deprecating predictions that become less reliable as time progresses.
3Measurement precision
If nodes request predictions with specific confidence levels, then the usability and accuracy of predictions improves, but the device complexity increases due to additional signaling and processing requirements
Solution Approach 1:
The patent applies partial action by implementing confidence level indication only for specific prediction types and scenarios rather than universally for all predictions. This selective approach allows nodes to request high-precision predictions when needed while avoiding unnecessary signaling overhead for predictions where full confidence indication is not required.
Data Source
AI summary
Systems, methods, apparatuses, and computer program products for indicating validity as a function of confidence level. A requesting network entity may receive a prediction request from a requesting network entity that comprises timing information indicating when a prediction needs to be obtained. The receiving entity may then transmit a response to the requesting network entity associated with the requested prediction.