Wireless Positioning Model Signaling for AI/ML Capability Recognition
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Solution Overview
Problem
The challenge of defining AI/ML function and model recognition for AI/ML model-based positioning in wireless communication systems remains unresolved, hindering accurate location estimation in New Radio (NR) systems.
Innovation Solution
A method for wireless communication that involves a terminal device sending 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 deployment and utilization of AI/ML models for precise positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If AI/ML model-based positioning is introduced into NR systems, then positioning precision is improved, but system complexity increases due to undefined AI/ML function and model recognition mechanisms
Solution Approach 1:
The patent segments the AI/ML positioning system into distinct functional components: terminal device capability reporting (supporting AI/ML models), network device configuration provisioning, and model-based positioning execution. This segmentation clarifies the system architecture and reduces complexity by defining specific roles for each component in the positioning process
Solution Approach 2:
The patent implements preliminary actions by having the terminal device report its AI/ML model support capabilities before positioning operations begin. The network device then pre-configures appropriate AI/ML models and parameters based on this capability information, ensuring the system is prepared for accurate model-based positioning while maintaining clear procedural steps
2Measurement precision
If AI/ML function recognition and model recognition are introduced for positioning, then positioning accuracy is enhanced, but implementation difficulty increases due to lack of defined relationships between AI/ML functions and models
Solution Approach 1:
The patent introduces configuration information as an intermediary element that bridges the terminal device's AI/ML capabilities and the positioning model requirements. The network device generates configuration information that explicitly defines the relationship between supported AI/ML functions and specific positioning models, making the implementation process systematic and manageable
Solution Approach 2:
The patent utilizes parameter changes by having the terminal device report capability parameters indicating supported AI/ML models and functions. The network device then adjusts configuration parameters based on these capabilities, dynamically matching appropriate AI/ML models to terminal capabilities and simplifying the implementation process through parameter-based compatibility matching
Data Source
AI summary
Provided is a method of wireless communication. In the method, a terminal device sends at least one first information to a network device, where the first information is parameter information related to a model function for positioning supported by the terminal device; and the terminal device receives first configuration information sent by the network device, where the first configuration information includes at least one of: configuration information related to a model function for positioning or configuration information related to a model for positioning. Further provided are a terminal device and a network device.