Network Data Analytics Function Discovery Through NRF Range Matching
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Solution Overview
Problem
The challenge of identifying a suitable Network Data Analytics Function (NWDAF) instance and requesting the required data analytics result is unresolved when multiple NWDAF instances are deployed in a network, as existing methods do not account for the limited data collection and analytics ranges of these instances.
Innovation Solution
A network repository function (NRF) determines a suitable NWDAF by matching analytics filtering information with the service range supported by each NWDAF instance, ensuring the selected instance can provide the requested services within the desired network range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple NWDAF instances are deployed in the network to provide data analytics services, then the service coverage and capacity are improved, but the difficulty of finding a suitable NWDAF instance that meets the requested network range requirements increases
Solution Approach 1:
The Network Repository Function (NRF) acts as an intermediary between the consumer and multiple NWDAF instances. The consumer sends a service discovery request to the NRF, which then matches the requested analytics filtering information with the service ranges of available NWDAF instances and returns the address of a suitable NWDAF instance. This intermediary mechanism resolves the complexity of directly finding and selecting an appropriate NWDAF instance from multiple deployed instances.
2Measurement precision
If the NRF performs detailed matching of analytics filtering information with each NWDAF instance's service range, then the precision of service discovery is improved, but the signaling overhead and processing time increase
Solution Approach 1:
Each NWDAF instance pre-registers its service range information (data collection range and data analytics range) with the NRF before providing services. The NRF stores this information in advance, so when a service discovery request arrives, it can quickly match the requested analytics filtering information against the pre-stored service ranges without performing complex real-time analysis, thus reducing service discovery time while maintaining precision.
Data Source
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Figure 1C~2A
Figure 2B~3
AI summary
A network data analytics method and apparatus are provided, to resolve a problem of how a consumer of a network data analytics service finds a suitable NWDAF and requests a required data analytics result from the NWDAF when a plurality of NWDAF instances are deployed in a network. The method includes: A network repository function network element receives a first message sent by a first device, where the first message is used to request to discover a network data analytics function network element, and the first message carries a first analytics identifier and first analytics filtering information. The network repository function network element determines a first network data analytics function network element based on the first analytics identifier and the first analytics filtering information, where the first data analytics function network element can provide an analytics service corresponding to the first analytics identifier, and an analytics service range of the first data analytics function network element meets the first analytics filtering information. The network repository function network element sends a second message to the first device, where the second message carries a service access address of the first network data analytics function network element.