5G Discovery Function for Automated Analytics Data Exposure
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Solution Overview
Problem
Current 3GPP specifications lack mechanisms for automated discovery and management of standardized and non-standardized collectable data and analytics data in 5G networks, requiring manual configuration and limited flexibility in deployments.
Innovation Solution
A framework is introduced that includes a Discovery Function to dynamically and automatically expose collectable data and analytics metadata, enabling identification and management of both standard and non-standard data types, with features like notification of availability changes and retrieval interpretation information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual configuration is used for data collection and analytics subscription, then current 3GPP specifications can be maintained, but deployment flexibility and automation are reduced
Solution Approach 1:
The patent introduces a Discovery Function as an intermediary component that mediates between data producers and consumers. This function automatically publishes available data and analytics information, enabling discovery without requiring direct manual configuration between all components. The Discovery Function simplifies the overall system architecture by centralizing the complexity of data cataloging and making it accessible to multiple subscribers.
Solution Approach 2:
The system enables self-service through automated publication and discovery mechanisms. Data producers automatically publish their available data and analytics capabilities, while consumers automatically discover and subscribe to relevant information without requiring manual intervention from operators. This self-service approach reduces operational complexity while increasing automation.
2Adaptability or versatility
If only standardized data types are supported, then data management is simplified, but adaptability to non-standardized data sources is reduced
Solution Approach 1:
The Discovery Function is designed with universal capabilities that allow it to handle both standardized and non-standardized data types. It publishes information about various data sources regardless of their standardization level, and consumers can discover and access both standardized and non-standardized data through the same mechanism. This multi-functionality increases adaptability without requiring separate handling mechanisms for different data types.
3Productivity
If automated discovery is implemented, then manual configuration is reduced, but existing 3GPP specification compliance may be challenging
Solution Approach 1:
The patent introduces dynamic capabilities to the discovery mechanism, allowing the system to adapt to changing data availability and analytics offerings in real-time. The Discovery Function dynamically publishes and updates information about data sources and analytics, enabling automated discovery that responds to current network conditions. This dynamic approach improves deployment efficiency while maintaining flexibility in specification implementation.
Data Source
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AI summary
The present invention relates to a framework for discovering of collectable data and/or analytics data in a network. In particular, the invention presents a device for discovering such data in the network. In addition, the invention presents devices for providing such data, i.e. sources of such data, and devices for seeking and consuming such data in the network, respectively. The device providing the data in the network generates and sends collectable data information and/or analytics metadata information to the device for discovering the data. The devices seeking the data can query the device for discovering data about the collectable data information and/or analytics metadata information, and can obtain the related collectable data and/or analytics data based thereon.