Ray Tracing Wireless Channel Simulation
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Solution Overview
Problem
Current wireless communication networks face challenges in accommodating high data traffic and maintaining quality of service due to limited bandwidth, particularly in fixed wireless access systems where traditional ray tracing methods are inefficient in simulating time-varying propagation channels caused by moving objects like cars, vegetation, and people.
Innovation Solution
A computationally efficient method using ray tracing and post-processing to simulate time-varying effects in wireless channels by distinguishing between moving cars, vegetation, and people, allowing for large-scale simulations with reasonable computation time, which includes identifying multipath components and Doppler spectra, and modeling temporal variations to estimate channel characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional ray tracing methods are used to simulate time-varying propagation channels, then accuracy of channel characterization is improved, but computation time increases significantly
Solution Approach 1:
The patent segments the propagation channel into static environmental components and dynamic moving object components. Ray tracing is performed only once for the static environment, while dynamic effects are modeled separately through post-processing, dividing the complex simulation into manageable parts that reduce overall computation time
Solution Approach 2:
The patent performs preliminary ray tracing simulations to establish the static propagation path and channel characteristics before the actual communication occurs. This pre-computed information is then used to efficiently model temporal variations without requiring repeated full ray tracing simulations
2Measurement precision
If full ray tracing simulation is performed to capture all temporal variations, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts and isolates the dynamic components (moving cars, vegetation, people) from the complete ray tracing simulation. By separating these temporal variation sources and modeling them independently through post-processing, the system reduces complexity while maintaining the ability to detect and characterize temporal variations
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 approach provides a reasonable approximation of channel characteristics, reducing computation time while maintaining accuracy, enabling the design of efficient wireless systems and multi-beam antennas, and improving spectral efficiency by incorporating temporal variations in ray tracing simulations.
Implementation Method 1
simulating, by a processor, using an electromagnetic solver including ray launching or ray tracing, multiple rays that reach a vicinity of a receiver of a wireless channel
Implementation Method 2
post-processing, using one or more of the multiple rays, information about received signal at the receiver to obtain temporal variations therein
Data Source
AI summary
The computer-implemented method includes simulating, by a processor, using an electromagnetic solver including ray launching or ray tracing, multiple rays that reach a vicinity of a receiver of a wireless channel, determining locations of interactions of the rays with an environment of the wireless channel, post-processing, using one or more of the multiple rays, information about received signal at the receiver to obtain temporal variations therein, and determining a characteristic of the wireless channel using results of the post-processing.