AI-Based Wireless Positioning with Selective Measurement Reporting
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Solution Overview
Problem
The increasing complexity of wireless communication networks due to ultra-high rates, ultra-low latency, and ultra-large connections, along with advanced features like MIMO and beamforming, poses challenges in network planning and operation, particularly in accurately positioning terminal devices using conventional methods.
Innovation Solution
A positioning method utilizing artificial intelligence (AI) to adaptively adjust measurement results and reference signal configurations based on channel conditions, reducing transmission overheads while maintaining or improving positioning accuracy by selectively reporting measurement results and configuring reference signals accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all measurement results are reported to the location management apparatus, then positioning accuracy is improved, but transmission overheads increase
Solution Approach 1:
The patent applies partial action by selectively reporting only certain measurement results (e.g., when quality metrics meet thresholds) rather than all measurement results. This reduces transmission overhead while maintaining positioning accuracy by reporting only the necessary subset of data that contributes meaningfully to location determination.
Solution Approach 2:
The patent changes the parameter of measurement result reporting by introducing quality metrics (such as SINR, RSRP thresholds) that determine whether measurement results are reported. This parameter-based filtering allows the system to adaptively adjust reporting behavior based on channel conditions, reducing overhead when conditions are poor while maintaining accuracy when conditions are good.
2Measurement precision
If reference signal transmission is increased to improve positioning accuracy, then positioning accuracy is improved, but network resource consumption increases
Solution Approach 1:
The patent makes the reference signal configuration dynamic by allowing the location management apparatus to adjust reference signal parameters (such as bandwidth, power, frequency) based on reported measurement quality. This dynamic adaptation enables the system to increase resource allocation when positioning accuracy is needed and reduce resources when measurements are sufficient, resolving the contradiction between accuracy and resource consumption.
Solution Approach 2:
The patent implements feedback by having the first communication apparatus report measurement quality metrics to the location management apparatus, which then uses this feedback to adjust reference signal transmission parameters. This closed-loop control ensures that network resources are optimized based on actual measurement quality, improving positioning accuracy only when necessary while conserving resources otherwise.
Data Source
AI summary
A positioning method and an apparatus are provided. The method includes: A first communication apparatus separately measures a first reference signal and a second reference signal from a second communication apparatus, and determines a first measurement result of the first reference signal and a second measurement result of the second reference signal. The first communication apparatus determines whether a first metric corresponding to the first measurement result meets a first condition. The first communication apparatus sends all or a part of the second measurement result to a location management apparatus based on a determining result, where all or the part of the second measurement result is used to determine location information of the first communication apparatus or the second communication apparatus based on an AI manner. In this application, reported measurement results may be adaptively adjusted based on different measurement results.