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 Matérn 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.

翻译：可重构智能表面（RIS）因其能够控制射频信号的反射并重塑无线传播环境，近年来受到广泛关注。与传统研究主要关注RIS优势不同，本文通过研究下行无线系统中用户移动性引起的干扰传播，探讨了RIS的负面影响。我们采用随机几何模型，使用Matérn硬核点过程模拟基站和RIS的位置，同时使用齐次泊松点过程对用户位置进行建模。我们推导了用户处接收信号与干扰信号功率分布的新颖闭式表达式。此外，我们提出了覆盖概率的新表达式，并引入了干扰传播强度的概念。为了刻画用户移动性引起的干扰动态特性，我们采用流行病学方法，使用易感-感染-易感模型。最后，分析了影响干扰传播的关键因素。数值结果验证了我们的理论分析，并为大规模多RIS无线通信网络中的干扰传播管理提供了建议。