NRF Cross-Core Network Function Discovery via Status Data Exchange
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Solution Overview
Problem
Current Network Repository Functions (NRFs) in wireless communication networks are limited in selecting and pairing network functions across different network cores, leading to inefficient resource allocation and service delivery.
Innovation Solution
The implementation of a Network Repository Function that obtains and prioritizes status data from network functions across geographic regions, allowing for the identification and selection of network functions based on their status, load, and geolocation, enabling efficient pairing and resource allocation even across different network cores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the NRF selects network functions limited to its own network core, then the selection process is simple and fast, but the adaptability and resource allocation efficiency deteriorate due to inability to pair functions across different network cores
Solution Approach 1:
The patent introduces a status data sharing mechanism where NRFs act as intermediaries that exchange status data about network functions across different network cores. When one NRF needs information about network functions in another network core, it retrieves status data from the other NRF, enabling cross-core function pairing without direct complex interactions between all components.
Solution Approach 2:
The patent segments the network function discovery process into local status data collection and cross-core status data exchange. Each NRF maintains local status data for simplicity, while a separate mechanism handles cross-core data sharing, dividing the complex problem into manageable local and remote components.
2Productivity
If the NRF obtains and prioritizes status data from multiple geographic regions, then the resource allocation efficiency and service delivery improve, but the complexity of status data collection and management increases
Solution Approach 1:
The patent implements preliminary action by having NRFs proactively obtain and store status data from network functions and other NRFs before actual service requests occur. This advance data collection and prioritization enables rapid resource allocation when needed, as the status information is already available and processed.
Solution Approach 2:
The patent establishes feedback loops where NRFs continuously monitor and update status data from network functions and exchange information with other NRFs. This feedback mechanism ensures that status information remains current and accurate, enabling dynamic resource allocation decisions based on real-time network conditions across multiple regions.
Data Source
AI summary
A Network Repository Function (NRF) obtains status data from network functions in a geographic region. The NRF obtains additional status data for other network functions from another NRF in another geographic region. The NRF receives a request and identifies some of the network functions based on the request. The NRF prioritizes the identified network functions based on the status data. The NRF transfers a response that indicates the prioritized network functions.