NWDAF Accuracy Reporting for Analytics Prediction Evaluation
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Solution Overview
Problem
Current network data analytics functions (NWDAF) lack a standardized method to provide accuracy information for their predictions, preventing consumers from effectively evaluating and improving the accuracy of their analytics reports.
Innovation Solution
NWDAF collects actual outcomes after making predictions and generates accuracy reports, allowing consumers to compare predictions with actual values, adjust subscriptions, and fine-tune their models based on the accuracy information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If NWDAF provides analytics predictions without standardized accuracy information, then the analytics function can be implemented simply, but consumers cannot evaluate or improve the accuracy of predictions
Solution Approach 1:
The patent segments the analytics function into distinct components: the prediction generation module and the accuracy reporting module. By separating these functions, the system can provide accuracy information without fundamentally changing the core prediction mechanism, thus managing complexity while improving measurement precision.
Solution Approach 2:
The patent introduces an intermediary accuracy report that mediates between the prediction system and the consumer. This intermediary component provides standardized accuracy information without requiring changes to the underlying prediction algorithms, resolving the contradiction between simplicity and precision.
2Reliability
If NWDAF collects and reports accuracy data for all predictions, then consumers can evaluate prediction quality, but the system requires more data collection and processing resources
Solution Approach 1:
The patent applies local quality by providing accuracy information selectively based on consumer needs and prediction types. Rather than uniformly collecting and reporting all possible accuracy data, the system tailors the accuracy reporting to specific analytics subscriptions and consumer requirements, reducing overall data collection burden while maintaining reliability where needed.
Solution Approach 2:
The patent implements partial action by collecting and reporting only the necessary accuracy metrics required for effective prediction evaluation. The system gathers sufficient accuracy data to enable consumer assessment without collecting excessive information, balancing reliability improvement with resource efficiency.
3Productivity
If consumers use accuracy reports to manage subscriptions and improve models, then analytics performance improves, but consumers need additional processing capability
Solution Approach 1:
The patent implements feedback mechanisms where accuracy reports are provided back to consumers in a standardized format that enables automatic subscription management and model improvement. The feedback is structured to require minimal additional processing capability while still enabling consumers to act on the accuracy information to improve analytics performance.
Data Source
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AI summary
Systems, methods, apparatuses, and computer program products for network data analytics function (NWDAF) accuracy enhancement. A method may include selecting a network function that can provide accuracy information. The method may also include sending a request to the network function for one or more accuracy reports for one or more analytics predictions. The method may further include receiving the one or more accuracy reports from the network function. In addition, the method may include managing the one or more analytics predictions based on the one or more accuracy reports.