Multi-Site Doppler Measurement for 3D UE Motion Estimation
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Solution Overview
Problem
Existing wireless communication systems lack effective methods to accurately determine the motion, particularly three-dimensional motion, of user equipment (UEs), which is crucial for identifying and managing rogue drones and other mobile devices that cause interference and pose safety risks.
Innovation Solution
Implementing Doppler shift measurements from multiple network nodes to estimate the motion of UEs, combined with range measurements, to enhance the accuracy of UE motion estimation, especially in LTE and NR systems, by signaling Doppler shift measurements between base stations and compensating for signal-to-noise ratio issues through resource block adjustments and frequency offset corrections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Doppler shift measurements are performed at multiple network nodes, then motion estimation precision is improved, but device complexity and measurement coordination difficulty increase
Solution Approach 1:
The patent segments the motion measurement function across multiple network nodes (serving node and neighboring nodes), where each node independently performs Doppler shift measurements on the UE. This segmentation enables multi-dimensional motion estimation by combining measurements from different spatial locations, improving precision while distributing system complexity across multiple manageable components
Solution Approach 2:
The patent introduces an intermediary coordination mechanism where the serving network node collects Doppler shift measurement results from multiple neighboring nodes and combines them to determine UE motion. This intermediary role facilitates the aggregation of distributed measurements without requiring complex direct coordination between all measuring nodes, thereby managing system complexity while achieving precise multi-dimensional motion estimation
2Loss of information
If multiple network nodes perform Doppler shift measurements, then three-dimensional motion estimation is achieved, but information transfer and processing overhead increases
Solution Approach 1:
The patent extracts only the essential Doppler shift measurement results from multiple network nodes rather than transferring complete raw measurement data. By extracting and transmitting only the critical motion-related information parameters, the system achieves comprehensive three-dimensional motion estimation while minimizing data transfer overhead and processing requirements at the serving node
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables improved, three-dimensional motion estimation of UEs, effectively identifying and managing rogue drones by reducing interference and enhancing safety in wireless communication systems.
Implementation Method 1
initiating, in a first network node, of a first Doppler shift measurement concerning the UE
Data Source
AI summary
A method for providing motion information of a UE in a wireless communication system. The method comprises initiating, in a first network node, of a first Doppler shift measurement concerning the UE. In the first network node, a transfer of requests for second Doppler shift measurement concerning the UE is initiated to second network nodes. Data representing the first Doppler shift measurement is obtained in the first network node. Data representing the second Doppler shift measurements is obtained in the first network node. An estimated motion, in more than one dimension, of the UE is determined in dependence of at least the obtained data representing the first Doppler shift measurement and the obtained data representing the second Doppler shift measurements. A method for assisting by the second network node, as well as network nodes performing the methods are also disclosed.