Wireless Positioning Model Configuration for AI/ML Function Recognition
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Solution Overview
Problem
The definition of AI/ML function and model recognition in AI/ML model-based positioning is unclear, posing a challenge in accurately determining the relationship between AI/ML function and model for effective wireless communication.
Innovation Solution
A method where a terminal device sends parameter information related to its model function for positioning to a network device, which in turn sends configuration information to the terminal device, enabling the definition and configuration of the model function for positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If AI/ML model-based positioning is implemented without clear definition of model function and model recognition, then positioning functionality can be provided, but the accuracy and effectiveness of positioning deteriorates due to unclear relationship between AI/ML function and model
Solution Approach 1:
The patent segments the AI/ML positioning system into distinct components: model function information (describing what the model does) and model recognition information (identifying the specific model). This segmentation allows clear definition of the relationship between AI/ML functions and models, thereby improving positioning accuracy while maintaining reliability.
2Measurement precision
If detailed configuration information for model function and model is provided, then model-based positioning accuracy is improved, but the complexity of configuration and information management increases
Solution Approach 1:
The patent introduces an intermediary configuration mechanism where the network device provides both model function information and model recognition information through standardized signaling (RRC signaling). This intermediary approach manages the complexity of detailed configuration by structuring the information flow, allowing high positioning accuracy to be achieved without overwhelming configuration complexity.
3Reliability
If AI/ML model-based positioning with clear model function definition is implemented, then positioning effectiveness is improved, but the communication overhead and information exchange between terminal and network device increases
Solution Approach 1:
The patent applies preliminary action by having the terminal device report its supported model function information and model recognition information to the network device in advance, before actual positioning occurs. This allows the network device to pre-configure appropriate positioning parameters and select suitable AI/ML models, thereby improving positioning effectiveness while minimizing communication overhead during the actual positioning process.
Data Source
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AI summary
A wireless communication method, a terminal device and a network device. The method comprises: a terminal device sending at least one piece of first information to a network device, wherein the first information is parameter information related to a model function for positioning, which parameter information is supported by the terminal device; and the terminal device receiving first configuration information sent by the network device, wherein the first configuration information comprises configuration information related to the model function for positioning and/or configuration information related to a model for positioning.