Spider RIS: Mobilizing Intelligent Surfaces for Enhanced Wireless Communications

TL;DR

This paper introduces Spider RIS, a movable intelligent surface technology that dynamically optimizes wireless communication environments by combining the benefits of movable antennas and UAVs, enhancing signal quality and capacity.

Contribution

It presents a novel Spider RIS system that integrates dynamic positioning and phase shift optimization to improve wireless communication performance in obstructive environments.

Findings

Enhanced signal quality and achievable rate in simulations

Effective dynamic positioning of RIS using particle swarm optimization

Improved channel capacity with limited reflecting elements

Abstract

In this study, we introduce Spider RIS technology, which offers an innovative solution to the challenges encountered in movable antennas (MAs) and unmanned aerial vehicle (UAV)-enabled communication systems. By combining the dynamic adaptation capability of MAs and the flexible location advantages of UAVs, this technology offers a dynamic and movable RIS, which can flexibly optimize physical locations within the two-dimensional movement platform. Spider RIS aims to enhance the communication efficiency and reliability of wireless networks, particularly in obstructive environments, by elevating the signal quality and achievable rate. The motivation of Spider RIS is based on the ability to fully exploit the spatial variability of wireless channels and maximize channel capacity even with a limited number of reflecting elements by overcoming the limitations of traditional fixed RIS and energy-intensive UAV systems. Considering the geometry-based millimeter wave channel model, we present the design of a three-stage angular-based hybrid beamforming system empowered by Spider RIS: First, analog beamformers are designed using angular information, followed by the generation of digital precoder/combiner based on the effective channel observed from baseband stage. Subsequently, the joint dynamic positioning with phase shift design of the Spider RIS is optimized using particle swarm optimization, maximizing the achievable rate of the systems.