AI Model Deployment Control in Wireless Communication Networks
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Solution Overview
Problem
Current wireless communication systems lack a solution to protect the privacy of AI models during their life cycle management, particularly in terms of model configuration and deployment.
Innovation Solution
Introduce configuration limitation information to manage and restrict the deployment of AI models to authorized network devices, ensuring privacy by determining which devices are allowed to use or configure the models based on manufacturer or network identifier matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If AI models are registered and managed in wireless communication systems, then model operations such as transmission, deployment, and configuration can be performed, but model privacy and security are compromised due to lack of limitation mechanisms
Solution Approach 1:
The patent applies local quality by assigning different access rights to different network devices based on their identity characteristics. The model management network element determines configuration limitation information specific to each network device, allowing only authorized devices to access the AI model. This resolves the contradiction by enabling model operations for authorized devices while preventing access for unauthorized devices, thus protecting model privacy without compromising legitimate model operations.
2Object-affected harmful factors
If configuration limitation information is introduced to restrict model deployment, then model privacy is protected, but system complexity increases
Solution Approach 1:
The patent introduces a model management network element as an intermediary between the AI model and network devices. This intermediary component handles the configuration limitation information and determines which network devices are authorized to access the model. By centralizing this management function in a dedicated intermediary element, the patent protects model privacy through access control while avoiding the complexity of implementing privacy protection mechanisms in every individual network device.
Data Source
AI summary
This application provides a communication method, a communication apparatus, and a communication system. In the method, a first network device sends a request message to a model management network element, where the request message is used for requesting to register a first model with the model management network element, and the first model is an AI model; and the first network device receives configuration limitation information of the first model from the model management network element, where the configuration limitation information indicates a network device that is allowed to be configured with the first model. In this solution, configuration limitation information of a model is introduced, so that a privacy requirement on model configuration or model use can be met. This helps improve security of the model.