RIS Calibration via Network Node Feedback
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Solution Overview
Problem
Reconfigurable intelligent surfaces (RIS) experience phase drifts due to aging or environmental variations, leading to inefficient energy redirection and degraded system performance, as they lack self-calibration capabilities.
Innovation Solution
A network node assists RIS calibration by transmitting a configuration for applying an RIS pattern, receiving measurement reports, and indicating phase drifts or updated codebooks to the RIS controller, thereby correcting phase drifts without relying on RIS self-calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If RIS is deployed for energy redirection, then system performance is improved, but phase drift occurs due to aging or environmental variations
Solution Approach 1:
The patent implements a feedback mechanism where the network node receives measurement reports from the RIS about phase drift conditions and sends back calibration commands to correct the phase shifts. This closed-loop feedback system continuously monitors and adjusts RIS phase shifts to maintain reliability while preserving energy redirection efficiency.
Solution Approach 2:
The RIS is equipped with self-calibration capability that allows it to autonomously detect and correct its own phase drift without requiring manual intervention. The RIS monitors its own phase shift accuracy and triggers calibration procedures when drift is detected, enabling self-maintenance of performance.
2Adaptability or versatility
If self-calibration is implemented at RIS, then calibration capability is improved, but device complexity increases
Solution Approach 1:
The calibration system is segmented into distinct functional modules: phase drift detection module, calibration decision module, and calibration execution module. This segmentation allows the complex self-calibration functionality to be broken down into manageable, independent components that can be developed and maintained separately, reducing overall system complexity.
Solution Approach 2:
The network node acts as an intermediary that assists the RIS in calibration by providing measurement reports and calibration commands. This intermediary approach allows the RIS to benefit from external calibration support without implementing the full complexity of autonomous calibration algorithms, distributing the complexity burden across the system.
3Measurement precision
If calibration is performed frequently, then phase accuracy is improved, but resource consumption increases
Solution Approach 1:
The calibration is performed periodically based on detected phase drift conditions rather than continuously. The RIS monitors phase drift and triggers calibration only when accuracy degrades below a threshold, creating a periodic calibration pattern that maintains precision while minimizing unnecessary energy consumption from continuous calibration operations.
Solution Approach 2:
The system performs partial calibration actions only when necessary based on measured phase drift, rather than executing full calibration sequences continuously. This selective approach applies just enough calibration to restore accuracy without the excessive energy consumption of frequent complete recalibration cycles.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may transmit, to a reconfigurable intelligent surface (RIS) controller associated with an RIS, a configuration for applying an RIS pattern. The network node may receive, from a network element, a measurement report indicating received observations of pilot signals reflected by the RIS in accordance with the RIS pattern. The network node may transmit, to the RIS controller and based at least in part on the measurement report, an indication of one or more of an updated codebook or a phase drift associated with a calibration of the RIS. Numerous other aspects are described.