Model ID Field Structure for AI/ML Communication Synchronization

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Solution Overview

Problem

The integration of numerous AI/ML models in communication systems complicates their management and control, necessitating a more flexible and efficient method to handle these models.

Innovation Solution

A communication method and device that utilize a first model ID comprising a first and second information field, where the first field includes semantic-invariant or universal IDs, and the second field includes semantic-variable or custom IDs, enabling flexible model management and control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a large number of AI/ML models are introduced in a communication system, then the system's functionality and intelligence are improved, but the complexity of managing these models increases

Engineering Contradiction:

Improvesystem functionalityVSAvoidmodel management complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The model ID is segmented into multiple fields including a first information field (with semantic-invariant, universal, or global unique model IDs) and a second information field (with semantic-variable or custom model IDs). This segmentation allows the system to manage complex AI/ML models by breaking down the identification into manageable components, where each field serves a specific purpose in model identification and management.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

A communication method is introduced as an intermediary mechanism between devices for exchanging model ID information. This intermediary approach standardizes how models are identified and managed across different devices, reducing the overall management complexity while supporting a large number of diverse AI/ML models in the communication system.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If diverse AI/ML models are managed in a communication system, then the system's adaptability is improved, but the difficulty of detecting and measuring model states increases

Engineering Contradiction:

Improvemodel diversityVSAvoidmodel state detection

Core Design Contradiction:

Adaptability or versatilityVSDifficulty of detecting and measuring

Solution Approach 1:

The first information field contains universal model IDs that can identify models across different devices and contexts. This universal identification mechanism allows the system to detect and measure diverse AI/ML models using a standardized approach, reducing the difficulty of model state detection while maintaining support for model diversity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The second information field provides local quality by including semantic-variable or custom model IDs that capture device-specific or context-specific model characteristics. This local differentiation complements the universal identification, enabling precise detection and measurement of diverse models without overwhelming complexity.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20260059299A1Communication method and device

Publication Date: 2026.02.26 GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD

AI summary

A communication method and a communication device are provided. The method includes the following. A first device sends first information, where the first information includes a first model identity (ID), and the first model ID includes a first information field and/or a second information field.