Near Field Optimization Algorithm for Reconfigurable Intelligent Surface

TL;DR

This paper presents an optimization algorithm for reconfigurable intelligent surfaces (RIS) that enhances signal focusing in wireless communication by using electrodynamic simulations and multidimensional optimization techniques.

Contribution

It introduces a near-field optimization algorithm for RIS and evaluates its performance through finite difference time domain simulations.

Findings

The algorithm effectively reconfigures RIS to focus electromagnetic waves.

Simulations show improved signal quality at target points.

The approach demonstrates potential for enhanced wireless communication efficiency.

Abstract

Reconfigurable intelligent surface (RIS) is a type of wireless communication technology that uses a reconfigurable surface, such as a wall or building that is able to adjust its properties by an integrated optimization algorithm in order to optimize the signal propagation for a given communication scenario. As a reconfiguration algorithm the multidimensional optimization of the GNU scientific library was analyzed to evaluate the performance of the smart surface in the quality of signal reception. This analysis took place by means of electrodynamic simulations based on the finite difference time domain method. Through these simulations it was possible to observe the efficiency of the algorithm in the reconfiguration of the RIS, managing to focus the electromagnetic waves in a remarkable way towards the point of interest.