Filtering Reconfigurable Intelligent Computational Surface for RF Spectrum Purification

TL;DR

This paper introduces a novel reconfigurable metasurface, FRICS, that enhances RF spectrum quality by filtering out out-of-band signals and improving communication efficiency in D2D and V2X scenarios.

Contribution

The paper presents the design and implementation of FRICS, a new metasurface that dynamically filters and amplifies signals, addressing RF spectrum pollution and improving wireless communication performance.

Findings

FRICS improves SINR in D2D and V2X scenarios.

FRICS enhances energy efficiency of wireless transmissions.

Experimental results validate the effectiveness of FRICS in spectrum purification.

Abstract

The increasing demand for communication is degrading the electromagnetic (EM) transmission environment due to severe EM interference, significantly reducing the efficiency of the radio frequency (RF) spectrum. Metasurfaces, a promising technology for controlling desired EM waves, have recently received significant attention from both academia and industry. However, the potential impact of out-of-band signals has been largely overlooked, leading to RF spectrum pollution and degradation of wireless transmissions. To address this issue, we propose a novel surface structure called the Filtering Reconfigurable Intelligent Computational Surface (FRICS). We introduce two types of FRICS structures: one that dynamically reflects resonance band signals through a tunable spatial filter while absorbing out-of-band signals using metamaterials and the other one that dynamically amplifies in-band signals using computational metamaterials while reflecting out-of-band signals. To evaluate the performance of FRICS, we implement it in device-to-device (D2D) communication and vehicular-to-everything (V2X) scenarios. The experiments demonstrate the superiority of FRICS in signal-to-interference-noise ratio (SINR) and energy efficiency (EE). Finally, we discuss the critical challenges faced and promising techniques for implementing FRICS in future wireless systems.