AI Task Configuration Rules for Terminal Capability Limits
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Solution Overview
Problem
Existing mobile communication technologies face challenges in coordinating artificial intelligence (AI) processing tasks due to limited terminal processing capabilities, leading to inefficiencies and potential interruptions.
Innovation Solution
A method and apparatus for AI application management that involves a network device determining configuration rules for AI processing tasks based on the relationship between the terminal's AI processing capability and task requirements, optimizing task scheduling to avoid exceeding processing limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple AI processing tasks are configured for user equipment, then the application functionality and processing coverage are improved, but the terminal processing capability becomes overloaded leading to inefficiencies and interruptions
Solution Approach 1:
The network device dynamically adjusts the configuration of AI processing tasks based on real-time assessment of terminal processing capabilities. The system transitions from static task assignment to dynamic adaptation, where task configuration changes according to the terminal's current state, resolving the contradiction between providing diverse AI functionality and maintaining processing reliability.
Solution Approach 2:
The patent changes the parameter of task configuration from fixed to variable, where the network device determines whether to allow, delay, or prohibit AI processing tasks based on capability matching. By adjusting task configuration parameters according to terminal capabilities, the system achieves both broad AI task coverage and maintained processing efficiency.
2Ease of operation
If AI processing tasks are configured without considering terminal capabilities, then task deployment flexibility is improved, but processing interruptions and inefficiencies increase
Solution Approach 1:
The network device performs preliminary assessment of terminal processing capabilities before configuring AI processing tasks. By evaluating capabilities in advance and determining appropriate task configurations (allow, delay, or prohibit) beforehand, the system avoids processing interruptions and inefficiencies while maintaining configuration flexibility.
Solution Approach 2:
The system implements feedback mechanisms where the network device continuously monitors terminal processing status and adjusts task configuration accordingly. This feedback loop ensures that task deployment remains flexible while preventing processing interruptions by adapting to real-time terminal capability states.
Data Source
AI summary
A method for application management of artificial intelligence (AI) is performed by a network device. The method includes: receiving an AI processing capability sent by a user equipment; and determining a configuration rule for configuring an AI processing task for the user equipment according to a relationship between the AI processing capability and a processing capability requirement of the AI processing task to be configured.


