Composite Model ID Structure for AI/ML Communication Control
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Solution Overview
Problem
The integration of numerous AI/ML models in communication systems complicates their management due to the complexity and diversity of communication scenarios, necessitating improved methods for model identification and control.
Innovation Solution
A communication method and device that utilize a model ID comprising a first and second information field, allowing flexible management and control of AI/ML models through predefined and customizable components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single unified model ID is used for AI/ML models, then the model identification is simple, but it cannot flexibly adapt to diverse communication scenarios and multiple models
Solution Approach 1:
The model ID is segmented into multiple fields including first information field, second information field, and third information field. Each field serves a specific function: the first information field identifies the model type, the second information field identifies the scenario, and the third information field provides additional model-specific information. This segmentation allows the model ID to adapt to diverse communication scenarios while maintaining a structured and manageable format.
2Measurement precision
If multiple separate model IDs are created for different scenarios, then each model can be precisely identified, but the management and synchronization of models becomes complex
Solution Approach 1:
Multiple model identification functions are merged into a single composite model ID structure. Instead of using separate model IDs for different scenarios, the patent combines model type identification, scenario identification, and model-specific information into one unified model ID. This merging simplifies model management and synchronization while maintaining precise identification capabilities across diverse communication scenarios.
3Adaptability or versatility
If a flexible model ID structure with multiple fields is used, then model management adaptability improves, but the information processing overhead increases
Solution Approach 1:
Different fields within the model ID structure have specialized functions tailored to specific needs. The first information field handles model type identification, the second information field handles scenario identification, and the third information field handles model-specific parameters. This local quality assignment ensures that each part of the model ID structure is optimized for its specific purpose, improving overall management flexibility while keeping the total information burden manageable through functional specialization.
Data Source
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AI summary
The disclosure relates to a communication method and a device. 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. In embodiments of the disclosure, with the first information field and/or the second information field, a model ID can be used more flexibly.