Design and Operation Principles of a Wave-Controlled Reconfigurable Intelligent Surface

TL;DR

This paper introduces models and control techniques for a wave-controlled reconfigurable intelligent surface (RIS), addressing wiring complexity and optimizing beamforming for improved wireless communication performance.

Contribution

The paper develops realistic models for RIS elements and sampling circuits, and proposes a modal decomposition method for wave control to enhance beamforming capabilities.

Findings

Models account for mutual coupling and varactor characteristics.

Envelope detector and sample-and-hold circuits effectively convert standing wave voltages.

Simulation results demonstrate the effectiveness of the proposed control techniques.

Abstract

A Reflective Intelligent Surface (RIS) consists of many small reflective elements whose reflection properties can be adjusted to change the wireless propagation environment. Envisioned implementations require that each RIS element be connected to a controller, and as the number of RIS elements on a surface may be on the order of hundreds or more, the number of required electrical connectors creates a difficult wiring problem, especially at high frequencies where the physical space between the elements is limited. A potential solution to this problem was previously proposed by the authors in which "biasing transmission lines" carrying standing waves are sampled at each RIS location to produce the desired bias voltage for each RIS element. This solution has the potential to substantially reduce the complexity of the RIS control. This paper presents models for the RIS elements that account for mutual coupling and realistic varactor characteristics, as well as circuit models for sampling the transmission line to generate the RIS control signals. For the latter case, the paper investigates two techniques for conversion of the transmission line standing wave voltage to the varactor bias voltage, namely an envelope detector and a sample-and-hold circuit. The paper also develops a modal decomposition approach for generating standing waves that are able to generate beams and nulls in the resulting RIS radiation pattern that maximize either the Signal-to-Noise Ratio (SNR) or the Signal-to-Leakage-plus-Noise Ratio (SLNR). Extensive simulation results are provided for the two techniques, together with a discussion of computational complexity.