NWDAF Analytics Data Collection and Aggregation
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Solution Overview
Problem
Current 5G telecommunication networks face challenges in efficiently managing and analyzing analytics data from multiple sources, lacking a flexible and coordinated approach to data collection and aggregation across distributed and centralized Network Data Analytics Functions (NWDAFs).
Innovation Solution
A method is introduced to manage analytics data by allowing consumer Network Functions (NFs) to autonomously determine how to collect and aggregate data from multiple NWDAFs based on capability information, load levels, and Key Performance Indicators (KPIs, using specialized and general functions, and defining an aggregation point identifier to facilitate centralized or distributed data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data analytics are performed in a centralized manner by aggregating analytics data from multiple NWDAFs, then processing efficiency is improved, but system complexity and data transmission overhead increase
Solution Approach 1:
The patent segments the NWDAF functionality into multiple distributed instances that can operate independently. Each NWDAF instance processes analytics data locally, and consumer NFs can selectively subscribe to specific analytics from specific providers, avoiding the need for a single centralized aggregation point while maintaining processing efficiency.
Solution Approach 2:
The patent introduces a new dimension of flexibility by allowing consumer NFs to independently select analytics providers based on capability information and load levels. This transforms the traditional single-dimension centralized model into a multi-dimensional distributed architecture where analytics can flow through multiple paths simultaneously.
2Adaptability or versatility
If multiple NWDAFs are deployed in a distributed manner, then system flexibility and reliability are improved, but data aggregation complexity increases
Solution Approach 1:
Each NWDAF instance autonomously manages its own capability information and load status, publishing this information to the service repository. Consumer NFs independently query and select appropriate providers based on this self-published information, eliminating the need for complex centralized coordination mechanisms.
Solution Approach 2:
The patent implements feedback mechanisms where NWDAF instances continuously publish their capability information and load levels to the service repository. Consumer NFs use this feedback to dynamically select appropriate analytics providers, enabling adaptive distributed operation without complex pre-configuration.
3Productivity
If consumer NFs autonomously determine data collection from multiple NWDAFs based on capability information and load levels, then resource utilization is optimized, but decision-making complexity increases
Solution Approach 1:
The service repository acts as an intermediary that centralizes the publication and storage of NWDAF capability information and load levels. Consumer NFs query this repository to make informed decisions, transferring the complexity of information management to the intermediary rather than requiring complex decision logic in each consumer NF.
Solution Approach 2:
The patent uses information copying where NWDAF capability information and load levels are published to the service repository and can be copied and cached by consumer NFs. This allows consumer NFs to make local decisions based on copied information without continuously querying the central repository, reducing decision-making complexity.
Data Source
AI summary
The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method of managing analytics data in a telecommunication network is provided. The method includes a consumer Network Function, (NF), determines how analytics data from a plurality of individual sources is collected and analyzed in one of a) a distributed manner from a plurality of Network Data Analytics Functions (NWDAF), b) a centralized manner by aggregating analytics data from the plurality of NWDAFs, before analyzing it at an Aggregator NWDAF, or c) a mixture of a) and b) above.