Ordered-Criteria NRF Ranking for 5G Network Function Nodes

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Solution Overview

Problem

Existing techniques for network function (NF) node discovery in 5G networks are cumbersome and inefficient, particularly when multiple query parameters are included, leading to suboptimal selection of service producers.

Innovation Solution

A method for prioritizing NF nodes based on predefined criteria and their importance, allowing network nodes to assign priority information to multiple NF nodes using a network repository function (NRF) node, ensuring efficient selection and service provision.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multiple query parameters are included in NF node discovery, then the selection precision is improved, but the process complexity increases and becomes cumbersome

Engineering Contradiction:
Improveselection precisionVSAvoidprocess complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by pre-defining multiple query parameters (such as service type, location, capacity, and priority) in the NF node discovery process. These parameters are prepared in advance and systematically applied to filter and rank NF nodes, allowing the service consumer to efficiently identify the most suitable service producer without manually evaluating multiple criteria during runtime.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent utilizes parameter changes by dynamically adjusting the weight and importance of different query parameters based on service requirements. The system allows modification of parameter values such as priority levels, capacity thresholds, and location preferences, enabling flexible optimization of NF node selection while maintaining a structured discovery process.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If multiple query parameters are used for NF node discovery, then the selection accuracy is improved, but the time consumption increases

Engineering Contradiction:
Improveselection accuracyVSAvoidtime consumption
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent reduces time consumption through preliminary action by pre-configuring and caching NF node information along with their associated query parameters in the NRF (Network Repository Function). When a discovery request is made, the system performs rapid filtering using pre-defined parameter sets, significantly reducing the time required to evaluate multiple NF nodes while maintaining high selection accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent applies partial action by implementing a hierarchical parameter evaluation approach. Instead of evaluating all query parameters for every NF node, the system first filters nodes using critical parameters (such as service type and location), then applies secondary parameters only to the reduced set of candidate nodes. This selective evaluation maintains selection accuracy while substantially reducing overall processing time.

Inventive Principle:
Principle #16Partial or excessive action

3Ease of operation

If existing NF node discovery techniques are used, then the system is simple to operate, but the service selection efficiency is suboptimal

Engineering Contradiction:
Improveease of operationVSAvoidservice selection efficiency
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The patent introduces an intermediary mechanism through the NRF (Network Repository Function) that manages and processes multiple query parameters centrally. The NRF acts as a mediator between the service consumer and NF nodes, automatically evaluating parameters such as service type, location, capacity, and priority to rank and select the most suitable NF nodes. This intermediary approach maintains ease of operation for end users while dramatically improving service selection efficiency through systematic parameter-based evaluation.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent implements feedback mechanisms where the NRF continuously monitors and updates NF node information based on changing conditions (such as load, availability, and performance metrics). This feedback loop allows the system to dynamically adjust parameter weights and re-rank NF nodes, ensuring optimal service selection efficiency while maintaining a simple interface for service consumers through the standardized discovery process.

Inventive Principle:
Principle #23Feedback

Data Source

PatentEP4278594B1Prioritising network function nodes
Publication Date: 2025.10.29 TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
  • EP4278594B1 patent drawingFigure 1A~1D
  • EP4278594B1 patent drawingFigure 2~3
  • EP4278594B1 patent drawingFigure 4~5

AI summary

There is provided a method for prioritising a plurality of first NF nodes of at least one service producer. Transmission of a first message is initiated (202) towards a network repository function (NRF) node. The first message comprises information indicative of a plurality of criteria and an order of importance of the criteria. The information is for use in assigning priority information to the plurality of first NF nodes. For each first NF node, the priority information is indicative of a priority with which the first NF node is to be selected to provide a service relative to at least one other first NF node of the plurality of first NF nodes and the priority information is assigned based on one or more criteria of the criteria that the first NF node meets and the position of the one or more criteria in the order of importance of the criteria.