RIS Meta-Element Power Saving for Beamforming Gain Retention
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently multiplexing sensing and communication signals, particularly in RIS-assisted scenarios, due to limited coverage, coverage holes, and insufficient reference points, leading to high power consumption and beamforming gain loss.
Innovation Solution
Implement a power saving mode for RIS-based sensing by configuring meta-elements with a small number of ON-state PIN diodes, allowing for reduced power consumption with minimal beamforming gain loss, using protocol and signaling designs for RIS power saving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If RIS uses a large number of meta-elements in active state, then beamforming gain is improved, but power consumption increases
Solution Approach 1:
The RIS system dynamically adjusts the number of active meta-elements based on sensing requirements and signal conditions. The network device configures the RIS to use different quantities of meta-elements in different time periods or sensing scenarios, allowing the system to adapt between high performance (more meta-elements) and low power consumption (fewer meta-elements) states.
Solution Approach 2:
The patent changes the operational parameter of meta-elements from a fixed state to a variable state where the quantity of active meta-elements can be adjusted. By controlling the number of PIN diodes in ON-state, the system modifies its effective aperture and beamforming capability to match the actual sensing needs, thereby optimizing the power-performance tradeoff.
2Use of energy by moving object
If RIS uses power saving mode with fewer meta-elements, then power consumption is reduced, but beamforming gain is lost
Solution Approach 1:
The system employs partial action by activating only the necessary number of meta-elements required for the current sensing task rather than all meta-elements. The network device calculates the minimum number of meta-elements needed to achieve the required sensing performance and configures the RIS accordingly, avoiding the excessive power consumption that would result from using all meta-elements continuously.
Solution Approach 2:
The RIS alternates between different operational modes with different numbers of active meta-elements based on periodic sensing requirements. During periods when high beamforming gain is not required, the system uses fewer meta-elements to save power, and switches to more meta-elements when sensing performance needs to be enhanced, creating a periodic pattern of high and low power states.
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 enables efficient power management in RIS-based sensing, maintaining beamforming gain while significantly reducing power consumption, thus extending battery life and supporting green communication.
Implementation Method 1
configuring, by the RIS based on the power saving mode, a meta-element configuration for meta-elements of the RIS from a set of meta-element configurations
Implementation Method 2
reconfigurable intelligent surface (RIS)-based sensing
Data Source
AI summary
Disclosed are systems, apparatuses, processes, and computer-readable media for wireless communications. For example, a reconfigurable intelligent surface (RIS) can receive a start RIS working mode configuration message comprising an indication to start a power saving mode. The RIS can configure, based on the power saving mode, a meta-element configuration for meta-elements of the RIS from a set of meta-element configurations.