Interference Propagation Analysis for Large-Scale Multi-RIS-Empowered Wireless Communications:An Epidemiological Perspective

TL;DR

This paper investigates the negative effects of interference propagation in large-scale multi-RIS wireless systems caused by user mobility, using stochastic geometry and epidemiological models to derive new analytical expressions and insights.

Contribution

It introduces a novel epidemiological approach to model interference dynamics and derives closed-form expressions for signal power and coverage probability in RIS-enabled networks.

Findings

Interference propagation intensity is significantly affected by user mobility.

The epidemiological model effectively captures interference dynamics.

Numerical results validate the theoretical expressions and suggest interference management strategies.

Abstract

Reconfigurable intelligent surfaces (RISs) have gained significant attention in recent years due to their ability to control the reflection of radio-frequency signals and reshape the wireless propagation environment. Unlike traditional studies that primarily focus on the advantages of RISs, this paper examines the negative impacts of RISs by investigating interference propagation caused by user mobility in downlink wireless systems. We employ a stochastic geometric model to simulate the locations of base stations and RISs using the Mat\'{e}rn hard core point process, while user locations are modeled with the homogeneous Poisson point process. We derive novel closed-form expressions for the power distributions of the received signal at the users and the interfering signal. Additionally, we present a novel expression for coverage probability and introduce the concept of interference propagation intensity. To characterize the dynamics of interference caused by user mobility, we adopt an epidemiological approach using the susceptible-infected-susceptible model. Finally, crucial factors influencing the propagation of interference are analyzed. Numerical results validate our theoretical analysis and provide suggestions for managing interference propagation in large-scale multi-RIS wireless communication networks.