3D Beam Propagation Path Search for Full-Space Ray Coverage
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Solution Overview
Problem
Existing wireless communication technologies face challenges in accurately predicting radio signal propagation path loss due to increased distance, leading to reduced accuracy in ray tracing models, especially in high-frequency coverage scenarios like 5G networks, where initial ray sampling density issues result in gaps between rays, causing path loss and decreased prediction accuracy.
Innovation Solution
A propagation path search method and apparatus that converts rays into beams within a three-dimensional object, allowing for full space path search capability, improving computing efficiency and ensuring all propagation paths are found, thereby eliminating path loss as distance increases, by defining a target three-dimensional object, setting a signal transmission point for initial beam modeling, and tracking each beam to determine effective propagation paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If initial ray sampling is performed at every 1 degree, then the sampling density is improved, but the quantity of initial sampled rays increases to 64800 and the gap between rays increases to 8.7m at 500m distance
Solution Approach 1:
The patent segments the full 360-degree space into a limited number of beam directions (6-12 directions) using spherical coordinate systems. Instead of sampling rays at every 1 degree (64800 rays), the space is divided into major angular segments (e.g., 0-60 degrees, 60-120 degrees, etc.) with representative beam directions selected for each segment. This segmentation reduces the quantity of sampled rays from 64800 to 6-12 initial beams while maintaining comprehensive spatial coverage through systematic angular distribution.
2Area of stationary object
If ray sampling is performed at every 1 degree, then the coverage is improved, but the gap between rays increases to 8.7m at 500m distance causing path loss
Solution Approach 1:
The patent transitions from one-dimensional ray tracing to three-dimensional beam modeling using spherical coordinate systems (azimuth angle φ and elevation angle θ). By defining beams in 3D space with specific angular distributions, the system achieves comprehensive full-space coverage without requiring dense 1-degree sampling. The beam directions are strategically selected to cover all spatial quadrants, ensuring that propagation paths in all directions are captured while maintaining accuracy at 500m distance.
3Measurement precision
If the quantity of initial sampled rays is increased to 64800, then the sampling density is improved, but the computing time is greatly increased
Solution Approach 1:
The patent merges multiple adjacent rays into single beams by grouping rays within specific angular ranges. Instead of processing 64800 separate rays, the system combines them into 6-12 representative beams that cover the same spatial regions. Each beam represents a bundle of rays with similar propagation characteristics, reducing the computational burden while maintaining the ability to capture diverse propagation paths through the beams' angular distributions.
4Measurement precision
If ray tracing is used to simulate five types of signal propagation manners, then the prediction accuracy is improved, but the path search operation becomes the most time-consuming accounting for 70% to 90% of entire model calculation
Solution Approach 1:
The patent performs preliminary beam direction selection and spatial segmentation before the actual path search operation. By pre-defining 6-12 beam directions that comprehensively cover the 3D space using spherical coordinates, the system prepares the propagation paths in advance. This preliminary action ensures that all five propagation manners (collineation, transmission, reflection, diffraction, and scattering) can be simulated without requiring dense ray sampling during the path search, thus reducing the 70-90% computational burden while maintaining prediction accuracy.
Data Source
AI summary
Embodiments of the present invention disclose a propagation path search method. In one embodiment, the method includes: defining a target three-dimensional object, where the target three-dimensional object is configured to describe full space; setting a signal transmission point in internal space of the target three-dimensional object to perform initial beam modeling of a signal point source, where the signal transmission point is used to transmit an initial beam; tracking the initial beam to determine a propagation manner generated by the initial beam in the three-dimensional object; and determining that a path corresponding to a target beam is an effective path when the target beam reaches a signal receiving point, where the target beam is included in the initial beam, or is obtained after the initial beam is split or changed.