NWDAF Closed Loop Analytics Feedback for 5G Networks
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Solution Overview
Problem
Current data collection and analytics mechanisms in 5G networks lack the ability for network functions to communicate back to the Network Data Analytics Function (NWDAF) regarding the usage and effectiveness of previously provided analytics information, hindering the NWDAF's ability to determine the usefulness of the data it provides.
Innovation Solution
Implementing a closed loop analytics feedback system that includes a feedback loop to enable machine learning within the NWDAF, where network devices receive analytic information requests, send analytic reports with unique identifiers, and receive feedback messages from commissioning network functions regarding changes influenced by these reports, allowing the NWDAF to track and improve its data usage and effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If current data collection and analytics mechanisms are used, then the NWDAF can collect data from network functions, but the network functions cannot communicate back to the NWDAF regarding the usage and effectiveness of analytics information
Solution Approach 1:
The patent implements a feedback mechanism where network functions send feedback messages to the NWDAF containing analytics report identifiers and descriptions of network parameter changes. This allows the NWDAF to receive information about how its analytics reports are being used and what impact they have on network operations, resolving the information loss issue while maintaining manageable system complexity through structured feedback protocols.
Solution Approach 2:
The patent introduces an analytics feedback message as an intermediary carrier that transports information from network functions back to the NWDAF. This message structure includes fields for analytics report identifiers, network parameter change descriptions, and timestamps, serving as a standardized intermediary that enables communication without requiring complex direct integration between components.
2Adaptability or versatility
If a closed loop analytics feedback system is implemented, then the NWDAF can learn the effectiveness of its analytics information, but the system complexity increases
Solution Approach 1:
The closed loop feedback system enables the NWDAF to receive structured feedback messages containing analytics report identifiers and network parameter change descriptions. This feedback loop allows the NWDAF to correlate its generated analytics reports with actual network parameter changes, enabling it to learn which analytics are effective and adapt its data collection and analytics generation accordingly, while the structured message format keeps implementation complexity manageable.
Solution Approach 2:
The NWDAF uses the received feedback information to automatically improve its own analytics generation process. By analyzing the correlation between its analytics reports and the resulting network parameter changes reported in feedback messages, the NWDAF can self-adjust its data collection priorities and analytics generation strategies without external intervention, enhancing adaptability while maintaining system simplicity.
3Measurement precision
If analytics reports with unique identifiers are sent, then the NWDAF can track usage effectiveness, but the data aggregation and processing requirements increase
Solution Approach 1:
The feedback mechanism includes unique analytics report identifiers that enable precise tracking of which specific analytics reports lead to network parameter changes. This precise identification allows the NWDAF to accurately measure the effectiveness of individual analytics reports while the standardized feedback message structure enables efficient processing and aggregation of multiple feedback instances without overwhelming data handling requirements.
Solution Approach 2:
The feedback message contains a copy of the analytics report identifier rather than requiring the NWDAF to store and compare complete analytics reports. This identifier copying approach enables precise tracking and measurement of analytics effectiveness while significantly reducing data aggregation and processing requirements, as the system only needs to handle compact identifier strings rather than full analytics data sets.
Data Source
AI summary
Systems and methods implement closed loop analytics feedback for a transport network. A network device, such as a Network Data Analytics Function (NWDAF), receives, from a commissioning network function, an analytic information request for analytic event information and sends, to the commissioning network function, an analytic report that is responsive to the analytic information request wherein the analytic report includes a unique analytic report identifier. The network device receives, from the commissioning network function, a feedback event message that includes the analytic report identifier and a change description for a network parameter change influenced by the analytic report.