NWDAF Service Experience Analytics Discrimination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current 5G network data analytics functions (NWDAF) face challenges in providing effective service experience analytics discrimination between applications and network slices, leading to inefficiencies in data processing and analysis.
Innovation Solution
The proposed method involves a network data analytics function (NWDAF) that allows service consumers to request or subscribe to service experience analytics for one or more applications and/or network slices, with the NWDAF determining and providing the appropriate analytics based on the request or subscription, including specifying analytics filter information and target reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If service experience analytics are provided for both applications and network slices without discrimination, then the analytics coverage is comprehensive, but the data processing efficiency deteriorates due to mixed analytics types
Solution Approach 1:
The patent segments service experience analytics into distinct categories: application-level analytics and network slice-level analytics. Each category has its own subscription/request mechanism, filter information structure, and reporting format. This segmentation allows the NWDAF to process and manage analytics for applications and network slices separately, improving data processing efficiency while maintaining comprehensive analytics coverage.
2Measurement precision
If separate requests or subscriptions are required for application analytics and network slice analytics, then the data accuracy improves, but the system complexity increases
Solution Approach 1:
The patent implements a universal subscription/request framework in the NWDAF that can handle both application-level and network slice-level analytics through a common interface. The NWDAF universally supports multiple analytics types, target types (applications, network slices, or both), and filter information formats within a single system architecture. This multi-functionality approach enables separate processing of different analytics types while maintaining a unified system structure, thereby improving data accuracy without proportionally increasing system complexity.
3Ease of operation
If analytics filter information is not specified, then the ease of operation improves, but the measurement precision deteriorates due to inability to distinguish analytics targets
Solution Approach 1:
The patent implements a dynamic filter information mechanism where the required filter parameters adapt based on the analytics type and target. For application-level analytics, the system dynamically requires application-specific filters (application ID, application type). For network slice-level analytics, it dynamically requires slice-specific filters (slice identifier, network slice type). This dynamic adaptation allows the system to maintain operational simplicity by only requesting necessary filters while achieving precise analytics target discrimination through context-aware filter requirements.
Data Source
AI summary
A method of providing service experience analytics in a network is described. The method comprises: requesting or subscribing, by a service consumer from or to a network data analytics function (NWDAF) of the network, service experience analytics for one or more application(s) and/or service experience analytics for one or more network slice(s), via a request or a subscription; determining, by the NWDAF, whether to provide the service experience analytics for one or more application(s) and/or the service experience analytics for one or more network slice(s), based on the request or the subscription; providing, by the NWDAF to the service consumer, the service experience analytics for one or more application(s) and/or the service experience analytics for one or more network slice(s), according to a result of the determining. A network is also described.