Terminal Doppler Estimation Using Cell Velocity Data
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Solution Overview
Problem
In Non-Terrestrial Networks (NTN), there is no existing method for terminals to obtain motion information of cells that are moving with respect to the ground, affecting communication behaviors associated with the motion state of the cell.
Innovation Solution
A method for information acquisition and transmission where a terminal receives and a network device transmits movement information, including velocity and direction, allowing the terminal to learn the motion state of the cell, enabling effective communication behaviors even when the cell moves with respect to the ground.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the terminal uses existing MSE and Doppler frequency shift estimation mechanisms, then the estimation can be performed in stationary cell scenarios, but the estimation accuracy deteriorates when the cell moves with respect to the ground
Solution Approach 1:
The network device pre-calculates and provides movement information (velocity and direction) of the cell to the terminal before the terminal performs Doppler frequency shift estimation. This allows the terminal to use the provided movement information as a basis for more accurate estimation, rather than relying solely on post-signal processing in moving scenarios
Solution Approach 2:
The patent introduces movement information (velocity and direction data) as an intermediary element between the network device and terminal. This intermediary provides the terminal with additional contextual information about cell motion, enabling more accurate Doppler estimation without requiring complex modifications to the terminal's estimation algorithms
2Reliability
If the terminal performs communication behavior without obtaining cell motion information, then the communication protocol remains simple, but the communication quality deteriorates due to inaccurate motion state estimation
Solution Approach 1:
The patent extracts the motion information provision function from the terminal and assigns it to the network device. The terminal only needs to receive and use the provided movement information, while the network device handles the complex task of calculating and providing accurate velocity and direction data based on its knowledge of cell motion
Solution Approach 2:
The network device provides movement information to the terminal, which then uses this information to improve its communication behavior (such as Doppler compensation and cell reselection). The terminal effectively feeds back on the provided information by adjusting its communication parameters to account for cell motion, improving overall communication reliability
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
This solution allows for accurate motion state estimation and Doppler frequency shift estimation, reducing errors in cell reselection and improving communication quality by accounting for the cell's movement.
Implementation Method 1
Doppler frequency shift estimation in the related technologies are not fully applicable
Data Source
AI summary
An information acquisition method includes: receiving cell moving speed information sent by a first network device, wherein the cell moving speed information comprises cell moving speed information of the first network device, and/or cell moving speed information of a second network device adjacent to the first network device.