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Computer Science > Information Theory

arXiv:2308.16856 (cs)
[Submitted on 31 Aug 2023]

Title:Analysis and Optimization of Reconfigurable Intelligent Surfaces Based on $S$-Parameters Multiport Network Theory

Authors:Andrea Abrardo, Alberto Toccafondi, Marco Di Renzo
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Abstract:In this paper, we consider a reconfigurable intelligent surface (RIS) and model it by using multiport network theory. We first compare the representation of RIS by using $Z$-parameters and $S$-parameters, by proving their equivalence and discussing their distinct features. Then, we develop an algorithm for optimizing the RIS configuration in the presence of electromagnetic mutual coupling. We show that the proposed algorithm based on optimizing the $S$-parameters results in better performance than existing algorithms based on optimizing the $Z$-parameters. This is attributed to the fact that small perturbations of the step size of the proposed algorithm result in larger variations of the $S$-parameters, hence increasing the convergence speed of the algorithm.
Comments: Submitted to a conference (invited)
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP)
Cite as: arXiv:2308.16856 [cs.IT]
  (or arXiv:2308.16856v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2308.16856

Submission history

From: Marco Di Renzo [view email]
[v1] Thu, 31 Aug 2023 16:58:30 UTC (740 KB)
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