Wideband Reconfigurable Intelligent Surface Metal Pattern Optimization
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Solution Overview
Problem
Current reconfigurable intelligent surfaces (RIS) face challenges with narrow operating bandwidth due to varactors' nonlinear characteristics and high reflection loss, leading to energy leakage and sidelobe issues.
Innovation Solution
A method and system utilizing electromagnetic simulation software, adaptability functions, and optimization algorithms to generate optimized reconfigurable reflective units with specific metal patterns, achieving broadband operation and low reflection loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If varactors are used as adjustable components in RIS, then power consumption is significantly reduced by operating under reverse bias, but the nonlinear changing characteristics limit the capacitance values to a specific bias voltage range, resulting in narrow operating bandwidth
Solution Approach 1:
The patent changes the electrical parameters (capacitance values) of the RIS units by optimizing metal pattern geometries rather than relying solely on varactor bias voltage adjustments. This allows the system to achieve a broader range of effective capacitance values across a wider frequency bandwidth while maintaining low power consumption through reverse-biased varactors.
Solution Approach 2:
The patent combines multiple elements into a composite reflective unit structure: optimized metal patterns (with specific geometric configurations), reverse-biased varactors, and grounding structures. This composite design leverages the geometric resonance of metal patterns to extend the operational bandwidth beyond what varactors alone can achieve.
2Ease of manufacture
If current RIS designs are used, then the structure can be implemented with available components, but the reflection loss is poor and generally higher than 3 dB, causing energy leakage and rising sidelobe level
Solution Approach 1:
The patent applies local quality optimization by designing specific metal pattern geometries (such as U-shaped, C-shaped, or ring-shaped patterns with optimized dimensions) for different regions of the RIS unit. These localized geometric optimizations enhance the reflection characteristics at specific frequency points, allowing the overall system to achieve better broadband reflection performance with average reflection loss below 3 dB.
Solution Approach 2:
The patent introduces dynamic adjustability through varactors that can be reverse-biased to change the electrical characteristics of the reflective units dynamically. This allows the RIS to adapt its reflection properties across different frequency bands and operating conditions, improving both the bandwidth and reflection loss performance while maintaining implementation feasibility.
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
The solution results in a wideband reconfigurable intelligent surface with improved bandwidth and reduced reflection loss, maintaining phase difference within 180°±20° and reflection loss below 3 dB, enhancing transmission efficiency.
Implementation Method 1
executing the electromagnetic simulation software to simulate the reconfigurable reflective units to obtain a plurality of reflection characteristic simulation values corresponding to the metal patterns
Data Source
AI summary
A generating method and a generating system of a wideband reconfigurable intelligent surface are proposed. The generating method includes executing an electromagnetic simulation software to generate a plurality of reconfigurable reflective units, and simulating the reconfigurable reflective units to obtain a plurality of reflection characteristic simulation values corresponding to a plurality of metal patterns; calculating the reflection characteristic simulation values according to an adaptability function to obtain a plurality of adaptability values corresponding to the metal patterns; calculating the adaptability values according to an optimization algorithm to obtain an optimized adaptability value, wherein the optimal adaptability value corresponds to an optimized metal pattern data; and importing the optimized metal pattern data into the electromagnetic simulation software to generate a plurality of optimized reconfigurable reflective units and forming the wideband reconfigurable intelligent surface based on the optimized reconfigurable reflective units.