Telecommunication Resource Catalogue for Standards Compliance

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Solution Overview

Problem

Telecommunication service providers face challenges in efficiently identifying and reusing telecommunication resources due to the lack of centralized access and visibility, leading to inefficient use and potential duplication of resources, especially when fulfilling standards-related requirements.

Innovation Solution

A system that catalogues existing telecommunication resources using metadata and employs machine learning to identify relevant resources for new deployments based on natural language messages, recommending resources that meet standards-related requirements and facilitating their inclusion in software architectures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If telecommunication resources are not centrally catalogued, then resource visibility and access are limited, but resource reuse efficiency is reduced

Engineering Contradiction:
Improveresource visibilityVSAvoidresource reuse efficiency
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The patent merges scattered telecommunication resources into a centralized catalogue that consolidates resource information from multiple sources. This catalogue combines physical resources, virtual resources, and service resources into a unified access point, enabling comprehensive visibility while facilitating efficient reuse across the organization.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces an AI-based intermediary system that mediates between resource seekers and the centralized catalogue. This intermediary uses natural language processing and machine learning to interpret resource requirements, query the catalogue, and recommend suitable resources, thereby bridging the gap between resource availability and resource utilization.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of time

If existing resources are not identified through AI, then resource identification is manual and slow, but development speed of new deployments is reduced

Engineering Contradiction:
Improveresource identification timeVSAvoiddeployment development speed
Core Design Contradiction:
Loss of timeVSProductivity

Solution Approach 1:

The patent replaces manual resource identification processes with an AI-based automated system. The machine learning model processes natural language descriptions of resource needs, automatically queries the centralized catalogue, and identifies suitable resources without human intervention, thereby eliminating time loss while accelerating deployment development.

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

Solution Approach 2:

The patent performs preliminary action by pre-cataloguing all telecommunication resources with detailed metadata and characteristics before they are needed. This advance organization enables the AI system to quickly retrieve and match resources during deployment development, preventing time loss during resource identification while maintaining high productivity.

Inventive Principle:
Principle #10Preliminary action

3Quantity of substance

If telecommunication resources are not systematically catalogued, then resource duplication occurs, but resource efficiency is reduced

Engineering Contradiction:
Improveresource duplicationVSAvoidresource efficiency
Core Design Contradiction:
Quantity of substanceVSProductivity

Solution Approach 1:

The patent implements feedback mechanisms where the AI system continuously monitors resource usage patterns and catalogue data. When potential duplications are detected, the system provides feedback by recommending existing resources that meet the same requirements, thereby preventing duplication while maintaining high resource efficiency through optimized utilization.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20250094134A1Identifying standards-related requirements for software architectures using telecommunication resources
Publication Date: 2025.03.20 T MOBILE US INC
  • US20250094134A1 patent drawing
  • US20250094134A1 patent drawing
  • US20250094134A1 patent drawing

AI summary

System and methods for generating deployments, such as software architectures, and identifying standards-related requirements applicable to deployments. A plain language message is received that describes a desired deployment. One or more entities are extracted from the plain language message. Based on the extracted entities, the system recommends one or more standards-related requirements relevant to the desired deployment, such as requirements for legal, privacy, and/or security standards. A selection is received from among the recommended standards-related requirements, the selected standards-related requirements being associated with a set of telecommunication resources configured to fulfill the standards-related requirements. The set of telecommunication resources can comprise microservices, data sources, and/or communication channels. The desired deployment is generated, which includes the set of telecommunication resources configured to fulfill the standards-related requirements.