论文标题

在存在相位噪声的情况下,对RIS辅助通信的性能评估和多样性分析

Performance Evaluation and Diversity Analysis of RIS-Assisted Communications Over Generalized Fading Channels in the Presence of Phase Noise

论文作者

Trigui, Imene, Ajib, Wessam, Zhu, Wei-Ping, Di Renzo, Marco

论文摘要

在本文中,我们开发了一个综合的理论框架,用于分析可重新配置的智能表面(RISS)在广义褪色渠道上和相位噪声的存在。为此,我们将FOX的H模型作为大量广泛使用的广义褪色通道作为统一的褪色分布。特别是,我们得出了一个统一的分析框架,用于计算中断概率并估算RIS辅助系统的可实现多样性顺序,而在存在最佳配置或受相位噪声损害的相位移位的情况下。由此产生的表达式是一般的,因为它们具有任意数量的反射元素,以及各种频道褪色和相位噪声分布。就多样性顺序而言,尤其是,我们引入了一个渐近分析框架,用于在没有相位噪声的情况下确定多样性顺序,以及基于上限和下限的足够条件,以确保在存在相位噪声的情况下实现RIS辅助系统实现完整的多样性顺序。更具体地说,如果相对误差对之间的绝对差异小于$π/2 $,则即使在存在相位噪声的情况下,RIS辅助通信也可以超过独立褪色通道的完整多样性顺序。理论框架和发现在蒙特卡洛模拟的帮助下进行了验证。

In this paper, we develop a comprehensive theoretical framework for analyzing the performance of reconfigurable intelligent surfaces (RISs)-assisted communication systems over generalized fading channels and in the presence of phase noise. To this end, we propose the Fox's H model as a unified fading distribution for a large number of widely used generalized fading channels. In particular, we derive a unified analytical framework for computing the outage probability and for estimating the achievable diversity order of RIS-aided systems in the presence of phase shifts that either are optimally configured or are impaired by phase noise. The resulting expressions are general, as they hold for an arbitrary number of reflecting elements, and various channel fading and phase noise distributions. As far as the diversity order is concerned, notably, we introduce an asymptotic analytical framework for determining the diversity order in the absence of phase noise, as well as sufficient conditions based on upper bounds and lower bounds for ensuring that RIS-assisted systems achieve the full diversity order in the presence of phase noise. More specifically, if the absolute difference between pairs of phase errors is less than $π/2$, RIS-assisted communications achieve the full diversity order over independent fading channels, even in the presence of phase noise. The theoretical frameworks and findings are validated with the aid of Monte Carlo simulations.

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