Terminal Device Dynamic Configuration for AI Data Collection
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Solution Overview
Problem
Current communication networks using AI models face performance degradation due to static data collection and processing methods that fail to adapt to changes in the communication environment or resource, leading to suboptimal data reporting and processing.
Innovation Solution
A method where a terminal device receives dynamic configuration information from a network device, which includes data collection, preprocessing, and reporting manners for an AI model, allowing the terminal device to update its configuration and adapt to environmental changes, enhancing communication network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static configuration information is used for data collection and processing, then the system structure is simple and easy to implement, but the adaptability to communication environment changes deteriorates
Solution Approach 1:
The patent implements dynamic configuration information that can be updated by the network device based on current communication conditions. The terminal device receives and applies updated configuration information to adjust data collection, preprocessing, and reporting parameters in real-time, transforming the static system into a dynamic one that adapts to environmental changes.
Solution Approach 2:
The patent establishes a feedback mechanism where the terminal device reports data to the network device, and the network device uses this information to generate and send updated configuration information back to the terminal. This closed-loop feedback enables the system to adapt to changing conditions while maintaining manageable complexity through centralized control.
2Reliability
If static configuration information is used, then the device complexity is low, but the communication network performance deteriorates under changing conditions
Solution Approach 1:
The patent establishes a feedback mechanism where the terminal device reports data to the network device, and the network device uses this information to generate and send updated configuration information back to the terminal. This closed-loop feedback enables the system to adapt to changing conditions while maintaining manageable complexity through centralized control.
Solution Approach 2:
The patent changes the configuration parameters from static to dynamic by introducing updated configuration information that modifies data collection, preprocessing, and reporting parameters based on current network conditions, thereby improving reliability without requiring complex decentralized adaptation mechanisms.
3Adaptability or versatility
If dynamic configuration information is implemented, then the adaptability to environment changes improves, but the device complexity increases
Solution Approach 1:
The patent implements dynamic configuration information that can be updated by the network device based on current communication conditions. The terminal device receives and applies updated configuration information to adjust data collection, preprocessing, and reporting parameters in real-time, transforming the static system into a dynamic one that adapts to environmental changes.
Solution Approach 2:
The patent introduces the network device as an intermediary that manages the complexity of dynamic configuration. Instead of the terminal device independently adapting to changes, the network device acts as a mediator that processes environmental information and generates appropriate configuration updates, thereby improving adaptability while containing complexity at the network level.
4Productivity
If static configuration is used, then the ease of operation is high, but the productivity of data collection and reporting deteriorates
Solution Approach 1:
The patent enables the terminal device to automatically apply updated configuration information received from the network device without requiring manual reconfiguration. The system performs self-service by automatically adapting data collection and reporting operations based on received updates, thereby improving productivity while maintaining ease of operation through automated rather than manual processes.
Solution Approach 2:
The patent changes the configuration parameters from static to dynamic by introducing updated configuration information that modifies data collection, preprocessing, and reporting parameters based on current network conditions, thereby improving productivity while the automated parameter updates maintain operational simplicity.
Data Source
AI summary
A method for obtaining data is provided. The method for obtaining data includes the following. A terminal device receives first configuration information from a network device, where the first configuration information indicates a data collection manner for a first model, a data preprocessing manner for the first model, and/or a data reporting manner for the first model, and the first model is an artificial intelligence (AI) model used by the network device. The terminal device performs corresponding configuration based on the first configuration information.


