AI Entity Registration in Network Devices for Simpler Deployment

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Solution Overview

Problem

Existing systems lack efficient methods for integrating and managing Artificial Intelligence (AI) entities within network environments, particularly in wireless communication networks, leading to challenges in registration, deployment, and task management.

Innovation Solution

A device and method for registering and managing AI entities by creating records for AI entities and transmitting registration requests, enabling seamless integration and management of AI clients within network devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If AI entities are integrated into network devices, then the capabilities of wireless communication networks are enhanced, but the device complexity increases

Engineering Contradiction:

ImproveAI entity integration capabilityVSAvoidnetwork device structure

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a dedicated AI entity management module as an intermediary component within the network device. This module handles all registration, authentication, and coordination operations for AI entities, allowing the core network functionality to remain relatively simple while supporting complex AI integrations through a specialized intermediary layer.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent segments the AI entity management functionality into distinct operational components: registration module, authentication module, and coordination module. This segmentation allows each component to handle specific tasks independently, reducing the complexity burden on any single component while enabling comprehensive AI entity management.

Inventive Principle:

Principle #1Segmentation

2Productivity

If registration records are created for AI entities, then the management efficiency is improved, but the information storage requirements increase

Engineering Contradiction:

Improvemanagement efficiencyVSAvoidstorage capacity

Core Design Contradiction:

ProductivityVSQuantity of substance

Solution Approach 1:

The patent implements local quality by storing different types of information at different levels: critical identification and authentication data are stored locally at the network device, while detailed operational logs and metadata are maintained in distributed storage systems. This selective local storage approach improves management efficiency for critical operations without requiring excessive storage capacity at any single location.

Inventive Principle:

Principle #3Local quality

3Ease of operation

If AI clients are registered through the device, then the deployment process is simplified, but the communication overhead increases

Engineering Contradiction:

Improvedeployment processVSAvoidcommunication energy

Core Design Contradiction:

Ease of operationVSLoss of energy

Solution Approach 1:

The patent applies preliminary action by performing authentication and capability verification of AI entities during the initial registration phase rather than during subsequent operational phases. This upfront validation simplifies future communication by pre-establishing trust relationships and communication parameters, reducing the need for repeated verification and lowering overall communication energy consumption.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250338239A1Methods, architectures, apparatuses and systems enabling artificial intelligence applications in networks

Publication Date: 2025.10.30 INTERDIGITAL PATENT HOLDINGS INC

AI summary

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products for enabling AI applications in a network. A device receives, from an Artificial Intelligence, AI, entity, a first request for first registration, creates a record for the AI entity, the record comprising information indicative of the first registration, and transmits, to a further device, a second request for second registration of an AI client on the device and of at least one AI entity including the AI entity.