5G AI Model Identifier Allocation for Terminal Management
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Solution Overview
Problem
The management of Artificial Intelligence (AI) and Machine Learning (ML) models deployed on terminal devices in 5G networks poses challenges for network devices, necessitating effective model identifier allocation and management to ensure consistent knowledge and performance.
Innovation Solution
A communication method where network devices allocate or approve model identifiers for models deployed on terminal devices, ensuring consistency in model identifier knowledge between the network and terminal devices, facilitating subsequent model management and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If network devices manage model identifiers for AI/ML models deployed on terminal devices, then model management capability is improved, but system complexity increases
Solution Approach 1:
The patent segments the model identifier management process into distinct phases: model identifier allocation by the network device, model identifier confirmation between network device and terminal device, and model identifier usage during model deployment. This segmentation allows complex management functionality to be implemented through structured, modular interaction sequences, improving manageability while maintaining full model management capability.
Solution Approach 2:
The patent implements preliminary action by allocating model identifiers to terminal devices before the actual model deployment occurs. The network device pre-assigns unique model identifiers and confirms them with the terminal device in advance, ensuring that identifier management is established before the complexity of model deployment arises. This preliminary setup simplifies subsequent model management operations.
2Loss of information
If model identifiers are allocated and managed consistently between network and terminal devices, then knowledge consistency is improved, but communication overhead increases
Solution Approach 1:
The patent implements a feedback mechanism where the terminal device sends confirmation messages to the network device regarding received model identifiers, and the network device provides acknowledgment or correction feedback. This bidirectional feedback ensures that both network device and terminal device maintain consistent knowledge of model identifiers, while the structured feedback loops prevent redundant communications by only exchanging necessary confirmation information.
3Productivity
If model identifier allocation is performed before model deployment is completed, then resource preemption is improved, but timing coordination complexity increases
Solution Approach 1:
The patent applies preliminary action by performing model identifier allocation and confirmation before the model deployment process is completed. The network device allocates model identifiers in advance, and the terminal device confirms receipt before actually deploying the model. This preliminary identifier management enables resource preemption and avoids conflicts during deployment, while the sequential timing (allocation → confirmation → deployment) provides clear coordination rules that manage complexity.
Data Source
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AI summary
A communication method, computer-readable storage medium, and communication apparatus. The method comprises: receiving model identifier information, the model identifier information for indicating at least one model identifier; and determining a first model identifier of the at least one model identifier as a model identifier of a first model, the first model being deployed on a terminal device. The solution provided by the application facilitates model management of models deployed on terminal devices.