On the Compromise Between Performance and Efficiency in RIS-aided Communication Systems

TL;DR

This paper explores the trade-offs between performance and efficiency in RIS-aided communication systems, highlighting neural network-based configuration, Doppler shift compensation, and the advantages of STAR-RIS for coverage and security.

Contribution

It introduces the use of neural networks for RIS configuration, examines RIS for Doppler shift mitigation, and discusses the benefits of STAR-RIS in enhancing coverage, energy efficiency, and security.

Findings

Neural networks reduce RIS reconfiguration overhead.

RIS can effectively compensate for Doppler shifts.

STAR-RIS improves coverage, energy efficiency, and security.

Abstract

The reconfigurable intelligent surface (RIS) technology for metasurfaces is ushering in a new paradigm for wireless communication systems. It provides an accessible way for controlling the interaction between electromagnetic waves with the propagation medium. One particularly important aspect is the configuration of the RIS elements or reflectors. Simply stated, the objective of the RIS configuration is to choose the optimum phase-shift combination that maximizes the channel capacity. Recently, neural networks (NNs) were proposed for tackling this task and results have shown that the proposed NN promotes far less reconfigurations of the RIS, consequently reducing the configuration overhead. Beyond that, the RIS can be repurposed for tackling the Doppler shift in high-mobility communication systems. Despite not being its usual primary goal, results have also demonstrated that the RIS can compensate for the Doppler shift at a small cost in performance. However, the typical reflection-only constraint for RIS systems limits the spatial coverage and signal amplification potential achieved by such systems. Therefore, the simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) can be employed to address these limitations by its dual functionality of transmitting and reflecting signals concurrently. It can be shown that the STAR-RIS can augment coverage, energy efficiency, and latency reduction, while enhancing sum-rate and physical-layer security across several wireless contexts.