Managed Entity Deployment Verification With Automatic Enabler Checks

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Solution Overview

Problem

Current feasibility check techniques in wireless communications systems fail to account for automation enablers, leading to incomplete deployment verification and increased operational costs due to the need for human intervention and additional resource allocation.

Innovation Solution

Perform feasibility checks that include automation enablers, such as closed loops and analytics models, to ensure coherent provisioning across management domains, reducing the need for human oversight and optimizing resource allocation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If feasibility checks are performed only on managed entities without automation enablers, then the check process is simpler and faster, but the deployment verification is incomplete and requires additional human intervention

Engineering Contradiction:
Improvedeployment verification completenessVSAvoidfeasibility check process complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent combines the feasibility check process for managed entities and automation enablers into a single unified procedure. The network device performs both checks simultaneously by deriving automation enablers from the service description and evaluating them together with managed entity deployment requirements, eliminating the need for separate manual verification steps

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent performs feasibility checks on automation enablers in advance before actual deployment. By deriving automation enablers from the service description and checking their feasibility beforehand, the system identifies potential deployment issues early, preventing incomplete verification and reducing the need for human intervention later

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If feasibility checks include automation enablers, then deployment verification becomes more accurate and complete, but the check process becomes more complex and time-consuming

Engineering Contradiction:
Improvefeasibility check accuracyVSAvoidfeasibility check duration
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs feasibility checks on automation enablers during the service description processing phase, before deployment execution. By deriving and evaluating automation enablers upfront, the system achieves comprehensive verification without adding time to the actual deployment process, as all checks are completed in advance

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The network device automatically derives automation enablers from the service description and performs feasibility checks without requiring external human input. This self-service approach maintains high accuracy while minimizing time loss, as the system handles the entire verification process autonomously without manual intervention

Inventive Principle:
Principle #25Self-service

3Reliability

If manual verification of automation enablers is performed, then deployment accuracy can be ensured, but operational costs increase due to human intervention requirements

Engineering Contradiction:
Improvedeployment accuracyVSAvoidoperational efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The network device performs automated feasibility checks on automation enablers by deriving them from the service description and evaluating them using predefined criteria. This self-service capability ensures deployment accuracy through systematic verification while eliminating the need for manual human intervention, thereby maintaining high operational efficiency

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual human verification processes with automated computational checks. The network device uses algorithmic feasibility evaluation to verify automation enablers, substituting human operational steps with automated system processes that maintain accuracy while improving productivity by reducing manual labor requirements

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250274794A1Managed entity feasibility check with automatic enabler feasibility check
Publication Date: 2025.08.28 LENOVO (SINGAPORE) PTE LTD
  • US20250274794A1 patent drawing
  • US20250274794A1 patent drawing
  • US20250274794A1 patent drawing

AI summary

Various aspects of the present disclosure relate to feasibility checks for accessing managed entities. Feasibility checks for automation enablers are performed as part of the feasibility check for a managed entity. This enables a complete solution to coherently support for automation where a managed entity specification can be used to provision the service or slice including the automation enablers that support the slice. Coherent in this context means that the system is sure that provisioning in all managed domains will go through.