AI/ML Model Control Messages for Communication Device Management
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Solution Overview
Problem
There is no standardized solution to manage the large number of AI/ML models introduced into communication systems, leading to complexity and diversity in application scenarios.
Innovation Solution
A method for controlling AI/ML models using model control messages that include AI/ML model identifiers, enabling operations such as activation, deactivation, switching, and deletion, along with information transmission, is provided.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a large number of AI/ML models are introduced into communication systems to handle complexity and diversity of application scenarios, then the system's adaptability and functionality are improved, but the device complexity and difficulty of management increase
Solution Approach 1:
The patent segments model management by introducing standardized control messages that separately handle different aspects of AI/ML model control (activation, deactivation, switching, deletion). This segmentation allows complex model management to be broken down into manageable, standardized operations, reducing the perceived complexity while maintaining adaptability.
Solution Approach 2:
The patent creates universal model control messages that can manage multiple AI/ML models across different communication devices and scenarios. These standardized messages serve multiple functions (activation, deactivation, switching, deletion) and can be applied universally to any AI/ML model in the system, reducing management complexity through standardization.
2Adaptability or versatility
If multiple AI/ML models are deployed to cover diverse application scenarios, then the system's functionality is improved, but the ease of operation and control deteriorates
Solution Approach 1:
The patent changes the parameter of model control from manual, device-specific operations to standardized message-based control. By transforming the control mechanism into parameterized messages with specific formats and fields, the system improves ease of operation while maintaining the ability to manage multiple models across diverse scenarios.
Solution Approach 2:
The patent introduces standardized model control messages as intermediaries between the operator and the AI/ML models. These messages serve as a universal interface that simplifies operation by providing a consistent method to control different models, rather than requiring device-specific or model-specific control procedures.
3Adaptability or versatility
If AI/ML models are controlled without standardized solutions, then the flexibility in specific implementations is maintained, but the loss of information and control efficiency increases
Solution Approach 1:
The patent establishes standardized model control message formats and structures in advance, defining all necessary information fields and control procedures before actual model management operations. This preliminary standardization ensures that all required control information is captured and transmitted efficiently, preventing information loss while maintaining implementation flexibility.
Data Source
AI summary
Provided is a method for controlling models. The method is applicable to a first communication device. The method includes: transmitting or receiving a model control message, wherein the model control message is used for controlling an artificial intelligence (AI)/machine learning (ML) model, and the model control message includes an AI/ML model identifier of the AI/ML model.