Remote RIS Configuration for Millimeter-Wave Path Loss
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Solution Overview
Problem
Wireless networks using millimeter wave frequencies face high path loss and require high cell site density, making deployment expensive and impractical due to power drop-offs over distance, and repeaters are suboptimal due to power and installation requirements.
Innovation Solution
Deploy reconfigurable intelligent surfaces components that reflect signals using passive or near-passive reflectors, controlled remotely by a controller with machine learning to optimize signal propagation, eliminating the need for sensing and transmitting components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If millimeter wave frequency bands are used for communication networks, then capacity and speed are improved, but path loss increases and range decreases
Solution Approach 1:
The patent introduces intelligent reflecting surfaces as intermediary elements between base stations and user equipment. These surfaces passively reflect millimeter wave signals, acting as mediators that extend signal reach without requiring active transmission, thereby reducing path loss while maintaining high communication capacity and speed.
Solution Approach 2:
The intelligent reflecting surfaces create virtual copies of base station signals by reflecting them toward user equipment. This copying approach allows the system to achieve extended coverage and reduced path loss by deploying low-cost reflective surfaces instead of additional high-power base stations.
2Length of stationary object
If repeaters are deployed to extend signal range, then communication distance is improved, but power consumption and installation complexity increase
Solution Approach 1:
The patent extracts only the essential function of signal reflection from traditional repeaters, eliminating the need for power-consuming transmission components. By taking out just the reflecting element and making it programmable, the system achieves extended signal range with minimal power consumption and simplified installation.
Solution Approach 2:
The intelligent reflecting surfaces are designed as low-cost, easily deployable elements that can be installed on existing structures. These surfaces provide extended coverage without the high installation and maintenance costs associated with traditional repeaters, making them economically viable for widespread deployment.
3Length of stationary object
If traditional active repeaters are used for signal propagation, then signal range is extended, but power consumption and system complexity increase
Solution Approach 1:
The intelligent reflecting surfaces are remotely configured and controlled by a central controller that uses machine learning to optimize signal reflection. The surfaces themselves consume minimal power, relying on the central controller to perform the computationally intensive tasks of signal analysis and configuration optimization, thereby achieving extended range with low local power consumption.
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
Reduces power consumption and design complexity, enabling scalable and cost-effective signal enhancement with improved signal-to-noise ratio and reduced signal degradation.
Implementation Method 1
reconfigurable intelligent surfaces component that comprises a plurality of cells configured to operate based upon tuning parameter values... reflect signals using passive or near-passive reflectors
Data Source
AI summary
One or more computing devices, systems, and/or methods for dynamic remote configuration of a reconfigurable intelligent surfaces component are provided. A controller is hosted remote to a reconfigurable intelligent surfaces network, such as within a cloud computing environment. The controller receives characteristics (e.g., signal degradation information from a base station and/or user equipment) of signals transmitted through the reconfigurable intelligent surfaces network between devices. The controller evaluates the characteristics to generate tuning parameter values to apply to cells of the reconfigurable intelligent surfaces component of the reconfigurable intelligent surfaces network. The controller transmits a control signal over a communication channel to the reconfigurable intelligent surfaces component for modifying operation of the cells using the tuning parameter values.


