RIS RF Modeling for Accurate Electromagnetic Field Simulation
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Solution Overview
Problem
Existing electromagnetic field simulation software fails to accurately simulate the propagation characteristics of reconfigurable intelligent surfaces (RIS) due to neglecting their physical structure and radio frequency model, leading to inaccuracies in radiation field patterns.
Innovation Solution
A method and system to establish a reconfigurable intelligent surface radio frequency model by calculating power ratios and relay gains using wireless transmission equations, incorporating a loss correction value to account for mutual coupling effects, and integrating this model into electromagnetic field simulation software.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing electromagnetic field simulation software uses ray tracing to simulate electromagnetic wave power distribution, then simulation speed is improved, but simulation accuracy deteriorates due to neglecting physical structure and radio frequency model of RIS
Solution Approach 1:
The patent segments the simulation process into two parts: using ray tracing for general electromagnetic wave propagation simulation to maintain speed, and applying a dedicated RIS radio frequency model to specifically account for the physical structure and mutual coupling effects of RIS elements to improve accuracy. This segmentation allows both methods to work together without compromising overall simulation efficiency.
Solution Approach 2:
The patent introduces an intermediary RIS radio frequency model that acts as a bridge between the ray tracing method and the physical reality of RIS. This model incorporates the actual physical structure, element spacing, and mutual coupling characteristics of RIS, serving as a mediator that corrects the simplifications made by pure ray tracing while maintaining computational efficiency.
2Device complexity
If existing electromagnetic field simulation software regards RIS as a simple mathematical model, then device complexity is reduced, but simulation accuracy deteriorates due to inability to understand mutual coupling effect and boundary effect
Solution Approach 1:
The patent changes the parameters of the RIS model from simple mathematical representations to physical parameters including element spacing, substrate boundary effects, and mutual coupling coefficients. By incorporating these physical parameters into the simulation model, the system can accurately represent the real-world behavior of RIS while maintaining a structured approach to model complexity.
Solution Approach 2:
The patent makes the RIS model dynamic by allowing the simulation to adaptively adjust parameters such as mutual coupling effects and boundary conditions based on the specific configuration being simulated. This dynamic modeling approach enables the system to handle varying degrees of complexity without requiring a completely new model for each scenario.
3Measurement precision
If a detailed radio frequency model of RIS is established to improve simulation accuracy, then measurement precision is improved, but device complexity increases due to additional calculations of power ratios and relay gains
Solution Approach 1:
The patent performs preliminary calculations of power ratios and relay gains during the model establishment phase, storing these parameters for reuse in subsequent simulations. By pre-computing these complex parameters, the system avoids redundant calculations during actual simulation runs, thereby improving accuracy without proportionally increasing computational complexity during operation.
Solution Approach 2:
The patent creates a simplified copy or representation of the complex radio frequency model that can be efficiently used in ray tracing simulations. This copied model retains the essential physical characteristics and mutual coupling effects but is formulated in a way that is computationally efficient, allowing accurate simulation without the full complexity of a complete electromagnetic simulation.
Data Source
AI summary
A establishing method of a reconfigurable intelligent surface radio frequency model includes calculating a first power ratio between a first receiving antenna and a first transmitting antenna according to a first wireless transmission equation; calculating a second power ratio between a second receiving antenna and a second transmitting antenna according to a second wireless transmission equation, wherein a reconfigurable intelligent surface is disposed between the second transmitting antenna and the second receiving antenna, and separated from the second transmitting antenna by a reference distance; calculating the first power ratio, the second power ratio and a path loss corresponding to the reference distance to obtain a relay gain of the reconfigurable intelligent surface; and establishing the reconfigurable intelligent surface radio frequency model based on a loss correction value and the relay gain.


