Interference Propagation Analysis for Large-Scale Multi-RIS-Empowered Wireless Communications:An Epidemiological Perspective
🤖 AI Summary
This study addresses interference propagation induced by user mobility in large-scale multi-RIS wireless communication systems. For the first time, the epidemic SIS model is introduced into wireless interference analysis, combined with stochastic geometry to characterize spatial deployments: base stations are modeled via a Matérn hard-core point process, while reconfigurable intelligent surfaces (RISs) follow a Poisson point process. By constructing a dynamic interference propagation model, the work introduces the notion of “interference propagation intensity” and derives closed-form expressions for both received signal and interference power, along with a novel coverage probability formula. Numerical evaluations validate the theoretical analysis and uncover key factors governing interference propagation, thereby offering foundational insights and design guidelines for interference management and deployment optimization in multi-RIS networks.
Application Category
📝 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.
Problem
Research questions and friction points this paper is trying to address.
interference propagation
reconfigurable intelligent surfaces
user mobility
wireless communications
stochastic geometry
Innovation
Methods, ideas, or system contributions that make the work stand out.
Interference Propagation
Reconfigurable Intelligent Surface (RIS)
Stochastic Geometry
Epidemiological Modeling
User Mobility
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