Reconfigurable Intelligent Surface Optimization Isolating Multi-Path Components
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Solution Overview
Problem
Current optimization methods for reconfigurable intelligent surfaces (RIS) are inadequate in complex scenarios with high diversity of multi-paths, failing to minimize the effect of multiple paths not influenced by the RIS and extract its contribution effectively.
Innovation Solution
A method for optimizing RIS by isolating and optimizing the multi-path component using an electronic device that acquires, estimates, and computes a cost function based on the isolated component, iteratively adjusting the RIS configuration until a predetermined stopping criterion is met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current optimization methods (gradient descent, unit cell modeling) are used for RIS, then optimization is possible in favorable cases, but the methods fail in complex scenarios with high diversity of multi-paths and cannot effectively extract RIS contribution
Solution Approach 1:
The patent segments the multi-path channel into distinct components: paths influenced by RIS and paths not influenced by RIS. This is achieved through channel estimation and identification techniques that separate the RIS-contributing paths from other multi-path components, enabling targeted optimization of only the relevant portion of the channel.
Solution Approach 2:
The patent extracts the RIS-influenced component from the overall multi-path channel by identifying and isolating specific path components. This extraction allows the optimization process to focus exclusively on the RIS-contributing paths, removing the干扰 from non-RIS paths that plague conventional optimization methods.
2Productivity
If optimization is performed using all multi-path components, then comprehensive channel utilization is achieved, but the effect of multiple paths not influenced by RIS cannot be minimized
Solution Approach 1:
The patent converts the harmful effect of non-RIS multi-path components into a benefit by using them as reference signals for identification. The non-RIS paths, which were previously sources of interference, are now utilized to characterize and identify the RIS-influenced paths through comparison and differential analysis, thereby eliminating their harmful effect while maintaining comprehensive channel utilization.
Solution Approach 2:
The patent introduces an intermediary identification process that mediates between the complete multi-path channel and the RIS optimization. This intermediary step characterizes the channel properties and identifies RIS-influenced paths before optimization, acting as a filter that separates useful from harmful components without losing overall channel utilization.
3Ease of manufacture
If experimental measurements are performed in anechoic chambers or with directional antennas, then simplified measurement conditions are achieved, but the measurements do not correspond to actual implementation scenarios
Solution Approach 1:
The patent performs preliminary channel characterization and RIS path identification before optimization, using the complete multi-path channel measurements taken in realistic scenarios. This preliminary action captures all channel components including non-RIS paths, which are then processed to identify and isolate RIS-influenced paths, ensuring measurements reflect actual implementation conditions while maintaining optimization effectiveness.
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 method enhances RIS optimization in complex scenarios by isolating and optimizing the path through the RIS, improving its capabilities and performance in challenging contexts.
Implementation Method 1
reconfigurable intelligent surface being suitable for reflecting or transmitting signals between at least one transmitter and at least one receiver
Implementation Method 2
each controllable in phase and/or amplitude
Data Source
AI summary
The present invention relates to a method for optimizing a reconfigurable intelligent surface, comprising the following successive steps:for a current configuration of said reconfigurable intelligent surface, the acquisition (62) of at least one measurement of the multi-path propagation channel associated with the communication and/or location system comprising at least said reconfigurable intelligent surface, at least one transmitter and at least one receiver;on the basis of said acquisition, estimation of said multi-path channel;within said multi-path channel estimation, isolation of the component of said reconfigurable intelligent surface;computation of a cost function using said isolated component;said successive steps being reiterated after modification, at each iteration, of said current configuration, until a predetermined stopping criterion is reached, the optimal configuration being associated with the iteration the cost value of which is maximum.