Reconfigurable Intelligent Surface Assisted Sensing and Localization using the Swendsen-Wang and Evolutionary Algorithms
A Reconfigurable Intelligent Surface (RIS) is a new technology containing elements that can be adjusted to modify wireless channel behavior. One of the areas in which RIS has proven to be useful is localization and object detection. In this paper, we utilize RIS to localize and recognize shapes of objects by changing its configurations and without collecting additional samples for calibration. We define a new problem based on the Cramer-Rao lower bound and propose a novel way of changing the configurations of the RIS using an Evolutionary Algorithm based on the random graph modeling and the Swendsen-Wang algorithm as a sampling method. Our analysis shows the convergence of the algorithm to the optimal value and our simulation results show the effectiveness of the method compared to other techniques.
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Reconfigurable Intelligent Surface Assisted Sensing and Localization using the Swendsen-Wang and Evolutionary Algorithms
Semantic Scholar · Engineering · 2023
Abstract
A Reconfigurable Intelligent Surface (RIS) is a new technology containing elements that can be adjusted to modify wireless channel behavior. One of the areas in which RIS has proven to be useful is localization and object detection. In this paper, we utilize RIS to localize and recognize shapes of objects by changing its configurations and without collecting additional samples for calibration. We define a new problem based on the Cramer-Rao lower bound and propose a novel way of changing the configurations of the RIS using an Evolutionary Algorithm based on the random graph modeling and the Swendsen-Wang algorithm as a sampling method. Our analysis shows the convergence of the algorithm to the optimal value and our simulation results show the effectiveness of the method compared to other techniques.