Decoupling Networks and Super-Quadratic Gains for RIS Systems with Mutual Coupling
Dominik Semmler, Josef A. Nossek, Michael Joham, Benedikt B\"ock,, Wolfgang Utschick

TL;DR
This paper introduces decoupling networks for RIS arrays to mitigate mutual coupling effects, enabling simplified algorithms and achieving super-quadratic channel gains, significantly enhancing system performance.
Contribution
The paper presents a novel decoupling network design that transforms the RIS system model to ignore mutual coupling, allowing for closed-form solutions and super-quadratic gains.
Findings
Decoupling networks enable super-quadratic (up to quartic) channel gains.
Closed-form solutions simplify channel gain maximization.
Simulation confirms superior performance over existing methods.
Abstract
We propose decoupling networks for the reconfigurable intelligent surface (RIS) array as a solution to benefit from the mutual coupling between the reflecting elements. In particular, we show that when incorporating these networks, the system model reduces to the same structure as if no mutual coupling is present. Hence, all algorithms and theoretical discussions neglecting mutual coupling can be directly applied when mutual coupling is present by utilizing our proposed decoupling networks. For example, by including decoupling networks, the channel gain maximization in RIS-aided single-input single-output (SISO) systems does not require an iterative algorithm but is given in closed form as opposed to using no decoupling network. In addition, this closed-form solution allows to analytically analyze scenarios under mutual coupling resulting in novel connections to the conventional…
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Taxonomy
TopicsStability and Control of Uncertain Systems
