Base Station Multi-RIS Matching for Data Rate and Power Optimization
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Solution Overview
Problem
The increasing demand for bandwidth due to multimedia applications like IoT, AR, VR, and video streaming requires significant energy consumption, which existing network structures struggle to efficiently manage, especially with the limitations of 5G and 6G wireless networks.
Innovation Solution
A base station that communicates with user terminals through reconfigurable intelligent surfaces (RISs), using a controller to determine optimal matching states, reflective element on/off states, and phase values to maximize data rates and minimize power consumption, employing deep reinforcement learning and convex optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional network structures are used to support multimedia applications, then bandwidth demand can be met, but energy consumption increases significantly
Solution Approach 1:
The patent introduces RIS (reconfigurable intelligent surface) as an intermediary component between the base station and user terminals. The RIS reflects and redirects electromagnetic signals to establish alternative communication paths, enabling the system to meet bandwidth demands for multimedia applications while reducing the energy consumption of traditional network structures by utilizing passive reflection instead of active signal transmission through congested channels
2Productivity
If multiple RISs are deployed to improve spectral efficiency, then communication performance improves, but system complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the base station receives channel state information from user terminals and uses this information to intelligently select and configure the appropriate RIS units. The controller determines optimal matching states between user terminals and RISs based on channel conditions, and adjusts reflective element states accordingly. This feedback-driven approach enables the system to achieve high spectral efficiency with multiple RISs while managing complexity through adaptive, condition-based configuration rather than exhaustive management of all possible RIS combinations
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
This approach enhances network energy efficiency by optimizing data rates and power usage in multi-RIS communication systems, supporting improved spectral efficiency and cost-effectiveness.
Implementation Method 1
The RIS can electronically control reflective elements so as to specify a direction of phase shift in a discrete or continuous phase configuration
Data Source
AI summary
The base station according to an embodiment communicates with one or more user terminals through one or more reconfigurable intelligent surfaces(RISs). The base station includes a communicator that performs communication with at least one of the one or more user terminals and the one or more reconfigurable intelligent surfaces, and a controller connected to the communicator, and the controller may determine a matching state of the one or more user terminals and the one or more reconfigurable intelligent surfaces that maximizes a sum of data rates for the one or more user terminals connected through the communicator, on/off states of one or more reflective elements included in the one or more reconfigurable intelligent surfaces, total power consumption, and a phase value of the one or more reflective elements included in the one or more reconfigurable intelligent surfaces.