Network Repository Function Attribute Updates for Adaptive Discovery
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Solution Overview
Problem
Current communication systems lack efficient mechanisms for a communications service provider (CSP) to control and optimize complex networks of communication system elements, particularly in self-organizing networks (SON) using closed-loop automation and machine learning.
Innovation Solution
A network repository function (NRF) maintains network profiles for various network functions, alters attributes based on search criteria, and signals identifiers and altered values to other network functions to optimize network operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a communication system provides comprehensive network functions and services, then the system capability and versatility are improved, but the network complexity increases making control and optimization difficult
Solution Approach 1:
The patent segments network functions into distinct Network Function Instances (NFIs) that can be independently managed. Each NFI is associated with a network profile containing specific attributes (priority, load, location), enabling granular control and optimization of individual functions within the broader network system.
Solution Approach 2:
The patent introduces a Network Repository Function (NRF) as an intermediary component that maintains network profiles and facilitates discovery between Network Function Instances and Network Slice Selection Functions. This mediator simplifies control by centralizing profile management and enabling automated selection based on predefined attributes.
2Reliability
If the network provides detailed control over network function selection, then optimization capability is improved, but the control system complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-defining network profiles with attributes (priority, load, location) before network function selection occurs. The NRF maintains these profiles in advance, enabling automated discovery and selection processes that reduce real-time control complexity while improving optimization capability.
Solution Approach 2:
The patent utilizes parameter changes by modifying network profile attributes (such as priority levels, load states, and location information) to control and optimize network function selection. These parameter changes enable dynamic optimization without requiring complex control logic, as the NRF automatically selects functions based on updated profile attributes.
3Productivity
If the network uses automated discovery and selection mechanisms, then productivity and efficiency are improved, but the system requires sophisticated profile management
Solution Approach 1:
The patent applies universality by designing the network profile structure to serve multiple functions: it stores service information, attributes, selection criteria, and optimization parameters in a single unified format. This multi-functional profile structure simplifies management while enabling automated discovery and selection processes that improve network efficiency.
Data Source
AI summary
There is provided a method, computer program, and apparatus for a network repository function that causes the network repository function to: alter, for a second network function, a value of an attribute in a network profile associated with said second network function; and signal, to a first network function, an identifier for said second network function in addition to an said altered value of said attribute, based on a first request for discovery from said first network function, wherein said network profile comprises an indication of a service and/or an attribute of said second network function.