5G KPI Navigation Graph for Service Assurance Context

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Solution Overview

Problem

Testing and verifying key performance indicators (KPIs) in complex and dynamic 5G networks is challenging due to their heterogeneous infrastructure and constant changes, leading to a lack of comprehensive understanding and context for mobile operators.

Innovation Solution

A navigation tool using a machine learning-based KPI discovery engine generates an ontology-based KPI graph that provides a standardized semantic model, enabling users to understand and interpret network performance through a visual language, facilitating discovery and connection of relevant KPIs across diverse 5G networks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a comprehensive KPI monitoring system is implemented for 5G networks, then service assurance and network performance verification are improved, but system complexity and difficulty of operation increase

Engineering Contradiction:
Improveservice assuranceVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the KPI monitoring system into multiple functional modules: KPI discovery engine, ontology management module, graph generation module, and visualization interface. Each module handles specific aspects of KPI monitoring independently, reducing overall system complexity while maintaining comprehensive service assurance capabilities.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an ontology as an intermediary layer between the complex 5G network infrastructure and the user interface. The ontology provides a standardized semantic model that mediates between diverse network elements and simplifies KPI navigation, allowing users to access comprehensive monitoring data without directly interacting with network complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If automated machine learning-based KPI graph generation is implemented, then productivity and ease of operation are improved, but device complexity increases

Engineering Contradiction:
ImproveKPI discovery efficiencyVSAvoidautomation system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements self-service automation where the machine learning system automatically discovers KPIs, builds ontologies, and generates graphs without manual intervention. The system monitors network elements, extracts KPI data, and constructs relationships autonomously, significantly improving productivity while the automated nature masks the underlying complexity from users.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent employs machine learning algorithms that dynamically adjust parameters based on network conditions and data patterns. The system adapts its KPI discovery criteria, ontology structures, and graph representations in real-time, enabling flexible automation that handles diverse network configurations without requiring complex manual configuration.

Inventive Principle:
Principle #35Parameter changes

3Adaptability or versatility

If a standardized semantic model is applied across diverse 5G networks, then ease of operation and adaptability are improved, but loss of information may occur due to abstraction

Engineering Contradiction:
Improvecross-network applicabilityVSAvoidnetwork detail loss
Core Design Contradiction:
Adaptability or versatilityVSLoss of information

Solution Approach 1:

The patent adds an ontological dimension to network representation, creating a layered structure where the standardized ontology provides high-level abstract concepts while detailed network information is preserved in the graph structure. This dimensional separation allows the standardized model to provide cross-network adaptability while the graph layer maintains detailed information about specific network elements and their relationships.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent implements a dynamic ontology that can adapt its granularity and structure based on the specific network being monitored. The system automatically adjusts the level of abstraction and detail in the ontology representation, allowing it to maintain comprehensive information for complex networks while providing simplified views for simpler networks, thus preventing information loss across different network types.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS12621227B2Service assurance in 5G networks using key performance indicator navigation tool
Publication Date: 2026.05.05 MICROSOFT TECHNOLOGY LICENSING LLC
  • US12621227B2 patent drawing
  • US12621227B2 patent drawing
  • US12621227B2 patent drawing

AI summary

A navigation tool using a visual language is configured to interoperate with a curated catalog of KPIs that enables users associated with 5G mobile operators to implement service assurance in a graphical manner based on a unique ontological model of an operator's 5G network. The graphical navigation tool provides visually-based context to the catalog to streamline KPI selection while leveraging the cognitive benefits of the visual language to facilitate discovery, grouping, and connecting of the KPIs in a meaningful way to express essential aspects of 5G network performance.