NWDAF Analytics Control for Scenario-Based Input Data Selection
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Solution Overview
Problem
The existing Network Data Analytics Function (NWDAF) lacks the ability for a service consumer to control the data used for analytics, limiting its capability to provide predictive information and 'what if' scenarios.
Innovation Solution
Introduce mechanisms for a network data analytics function entity to receive input data identifiers, perform analytics based on these identifiers, and provide results, allowing simulation scenarios with predefined conditions, and enable data storage and retrieval with identifiers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the NWDAF collects data according to its own logic to provide predictive information, then the analytics can be performed, but the service consumer cannot control what data to use for analytics
Solution Approach 1:
The patent introduces an intermediary mechanism where the service consumer specifies desired analytics through a standardized interface, and the NWDAF automatically retrieves and processes the appropriate data. This mediator approach allows data control flexibility without requiring complex direct control mechanisms, as the system intermediates between data collection and analytics generation.
Solution Approach 2:
The patent enables parameter changes by allowing service consumers to dynamically specify analytics parameters (such as time range, data types, filtering criteria) without changing the underlying data collection logic. The NWDAF adapts its data retrieval and processing parameters based on consumer requirements, achieving flexibility through parameter configuration rather than structural changes.
2Adaptability or versatility
If the NWDAF provides predictive information based on collected data, then analytics can be generated, but the service consumer cannot specify simulation scenarios with predefined conditions
Solution Approach 1:
The patent applies preliminary action by allowing service consumers to pre-define simulation scenarios and conditions before analytics execution. Consumers can specify hypothetical situations, predefined parameters, and expected outcomes in advance, and the NWDAF retrieves and processes data accordingly. This enables complex simulation scenarios without losing control over analytics parameters.
Solution Approach 2:
The patent introduces dynamics by enabling service consumers to dynamically adjust analytics parameters and simulation scenarios during operation. The system allows real-time modification of data selection criteria, time ranges, and simulation conditions while maintaining the ability to retrieve and process the required data, thus achieving adaptability without information loss.
3Ease of operation
If the NWDAF collects and stores network operation data, then analytics can be performed, but there is no mechanism for controlled data retrieval based on consumer requirements
Solution Approach 1:
The patent implements self-service by enabling service consumers to independently specify their data retrieval requirements through a user-friendly interface. Consumers can directly indicate what data they need, and the system automatically retrieves and processes it without requiring complex manual configuration or deep system knowledge. This simplifies operation while maintaining controlled data retrieval.
Solution Approach 2:
The patent applies universality by creating a multi-functional data retrieval mechanism that handles various consumer requirements through a single standardized interface. The system can retrieve different types of data (historical, real-time, aggregated) for different purposes (analytics, simulation, monitoring) using the same control mechanism, thus achieving ease of operation without proportionally increasing system complexity.
Data Source
AI summary
The present disclosure provides measures for analytics control. Such measures exemplarily comprise receiving, from a network entity consuming analytics, an analytics demand including an input data identifier indicative of input data on the basis of which said analytics are to be performed, obtaining the input data based on the input data identifier, performing said analytics on the basis of said input data, and providing, to said network entity consuming analytics, a result of said analytics.