Wireless Environment Estimation Using Secondary Transmission Points
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless digital twin systems struggle to accurately and efficiently predict changes in wireless communication characteristics due to the movement of objects within the communication area, as they require extensive electromagnetic field analysis that is too slow to keep up with the speed of moving objects, leading to delays and instability in monitoring and control.
Innovation Solution
A wireless environment estimation system that utilizes a computer to generate electromagnetic field analysis models for stationary and moving objects, reducing calculation time by dividing surfaces into half-wavelength segments and employing secondary transmission points for rapid electromagnetic field calculations, enabling real-time estimation of communication environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electromagnetic field analysis is performed using Maxwell equation to calculate electromagnetic field distribution, then measurement precision of wireless communication characteristics is improved, but calculation time increases exponentially making it too slow to track moving objects
Solution Approach 1:
The patent divides the electromagnetic wave scatterer surface into multiple segments (triangular meshes), transforming the continuous surface into discrete elements. This segmentation allows the electromagnetic field calculation to be performed on segmented surfaces rather than continuous complex geometries, significantly reducing calculation complexity and time while maintaining prediction accuracy for moving objects
Solution Approach 2:
The patent pre-calculates and stores electromagnetic field distribution data for various positions and postures of electromagnetic wave scatterers in a database before actual movement occurs. When an object moves, the system quickly retrieves pre-computed data corresponding to the new position, avoiding real-time electromagnetic field recalculation and enabling rapid tracking of moving objects
2Reliability
If electromagnetic field analysis is performed for every position change of moving objects, then reliability of wireless digital twin is improved, but calculation time makes real-time monitoring impossible
Solution Approach 1:
The system pre-computes electromagnetic field distributions for anticipated positions and postures of electromagnetic wave scatterers and stores them in advance. During real-time operation, the wireless digital twin rapidly retrieves relevant pre-computed data based on current object positions, ensuring both high reliability in environment reproduction and fast update speed without performing full electromagnetic field analysis for every position change
Solution Approach 2:
By segmenting the electromagnetic wave scatterer into discrete elements and pre-calculating field distributions for each segment configuration, the system creates a library of pre-computed states. This segmentation enables efficient retrieval and combination of pre-calculated data to reconstruct accurate wireless environments for moving objects in real-time
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 rapid prediction of communication environments, improving stability and reliability of wireless communication systems by accurately reflecting changes caused by moving objects, thus enhancing the wireless digital twin's ability to monitor and control devices effectively.
Implementation Method 1
a first electromagnetic field analysis model for analyzing an electromagnetic wave reflected by the stationary structure in the observation region
Implementation Method 2
electromagnetic field analysis models for stationary and moving objects, reducing calculation time by dividing surfaces into half-wavelength segments
Data Source
AI summary
Provided is a wireless environment estimation system that stores stationary structure data including structure data of a stationary structure in a wireless communication area, moving object data including structure data of a moving object in the wireless communication area, and observation region data related to an observation region of an electromagnetic field, uses the stationary structure data and the observation region data to generate a first electromagnetic field analysis model for analyzing an electromagnetic wave reflected by the stationary structure in the observation region, sets a primary wave source at a position of a wireless station, generates a secondary transmission point from an electromagnetic field that is obtained by calculation using the first electromagnetic field analysis model and that reaches the observation region, uses the moving object data and the observation region data to generate a second electromagnetic field analysis model for analyzing an electromagnetic wave emitted from the secondary transmission point, and uses the second electromagnetic field analysis model to calculate an electromagnetic field caused by an electromagnetic wave emitted in a direction opposite to that of an electromagnetic wave reaching the secondary transmission point.