RIS Ray Tracing Modeling for Indoor NLOS Deployment Analysis
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Solution Overview
Problem
Existing deterministic modeling methods for reconfigurable intelligent surface (RIS) channels are limited by non-universal design for half wavelength size, unsuitable for most static ray tracing simulations, and lack research on position deployments in indoor environments.
Innovation Solution
A ray tracing channel modeling method that determines environmental layout, material parameters, antenna settings, and RIS unit positions, adjusts angles, and performs simulations to analyze channel characteristics, supporting arbitrary RIS deployments in static ray tracing software.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing deterministic modeling methods are used for RIS channels, then received power gain analysis is improved, but universality and adaptability to static ray tracing software deteriorate
Solution Approach 1:
The patent implements a universal RIS channel modeling method that can be applied to various static ray tracing software platforms. The methodology uses standardized procedures for importing environmental layouts, setting material parameters, configuring antenna arrays, and adjusting RIS unit parameters. This universal approach allows the same modeling technique to work across different software environments while maintaining accuracy in received power gain analysis.
Solution Approach 2:
The patent systematically varies key parameters including RIS unit sizes (with half-wavelength design), deployment positions, adjustment angles, and environmental configurations to demonstrate the model's universality. By changing these parameters while maintaining the same modeling framework, the method proves its adaptability to different scenarios and software platforms while preserving measurement precision.
2Reliability
If existing deterministic modeling methods are used for RIS channels, then non-line-of-sight environment analysis is improved, but research on position deployments in indoor environments deteriorates
Solution Approach 1:
The patent implements dynamic position deployment capabilities where RIS units can be placed at arbitrary locations within indoor environments. The system dynamically adjusts the deployment positions, unit sizes, and adjustment angles based on specific scenario requirements. This dynamic approach enables comprehensive research on how different position deployments affect channel characteristics in both line-of-sight and non-line-of-sight conditions.
3Adaptability or versatility
If arbitrary RIS deployments are enabled, then adaptability and research capability are improved, but model complexity and computational requirements increase
Solution Approach 1:
The patent segments the RIS surface into multiple independent units, each with adjustable parameters including size, position, and orientation angles. This segmentation allows arbitrary deployments while maintaining manageable complexity through modular configuration. Each unit can be independently configured and optimized, reducing the overall computational burden compared to treating the entire RIS surface as a single complex entity.
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 accurate, universal RIS channel modeling suitable for static ray tracing simulations, allowing arbitrary RIS deployments and comprehensive analysis of received power gains and position impacts in non-line-of-sight scenarios.
Implementation Method 1
The reconfigurable intelligent surface (RIS) becomes a potential solution for combating the issues of the propagation distance of the high-frequency communication thanks to the unique characteristic of regulating the electromagnetic propagation environment
Implementation Method 2
A ray tracing channel modeling method that determines environmental layout, material parameters, antenna settings, and RIS unit positions, adjusts angles, and performs simulations to analyze channel characteristics
Data Source
AI summary
Disclosed in the present disclosure is a ray tracing channel modeling method for reconfigurable intelligent surface wireless communication. The method comprises: setting an application scene; implementing RIS deployment and adjustment mode; analyzing a received power distribution of a non-line-of-sight scene; analyzing an angle power spectral density; and specifically analyzing the change of a channel capacity with the change of a transmitting power, a RIS unit number and a RIS deployment position. In the present disclosure, a RIS channel deterministic model based on ray tracing can be used for a static ray tracing simulation software, the deployment of any scale of a reconfigurable intelligent surface at any position in a scene is supported, the ray tracing modeling method of the reconfigurable intelligent surface is enriched, and the channel characteristic analysis of the simulation result has guiding significance for the application and deployment of RIS in indoor scenes.