Improving SAGIN Resilience to Jamming with Reconfigurable Intelligent Surfaces

TL;DR

This paper explores using reconfigurable intelligent surfaces on UAVs to enhance the resilience of SAGIN against jamming, optimizing signal quality through advanced algorithms and demonstrating significant performance gains in simulations.

Contribution

It introduces a novel approach of deploying RIS on UAVs within SAGIN to counteract jamming, with optimization techniques tailored for this scenario.

Findings

Deploying RIS on UAVs near users improves jamming mitigation.

Optimization schemes significantly enhance SJNR performance.

RIS deployment effectiveness depends on jamming power and number of RIS elements.

Abstract

This study investigates the anti-jamming space-air-ground integrated network (SAGIN) scenario wherein a reconfigurable intelligent surface (RIS) is deployed on a fixed Unmanned Aerial Vehicle (UAV) to counteract malevolent jamming attacks. In contrast to existing research, in this paper, we consider that a Low Earth Orbit (LEO) satellite is sending the signal to the user on the ground in the presence of jamming from a Geostationary Equatorial Orbit (GEO) satellite side. We aim to maximize the signal-to-jamming plus noise ratio (SJNR) by optimizing the RIS beamforming and transmit power of the LEO satellite. Assuming the availability of global channel state information (CSI) at the RIS, we propose alternating optimization (AO) and semidefinite relaxation (SDR) techniques to address the complexity. Simulation results show that the optimization schemes lead to considerable performance improvements. The results also indicate that, given the high jamming power and the relatively small number of RIS elements, deploying the RIS on UAVs near the user is more effective in mitigating the impact of jamming interferers.