论文标题
Chernoff的界限和鞍点的近似值，用于智能反映表面辅助通信系统的中断概率
Chernoff Bounds and Saddlepoint Approximations for the Outage Probability in Intelligent Reflecting Surface Assisted Communication Systems
论文作者
论文摘要
我们分析了智能反射表面（IRS）辅助通信网络的中断概率。在Chernoff不等式的情况下制定了停电概率上的紧密上限。此外，通过基于鞍点近似的精确渐近（大量反映元素）分析，我们得出了具有和没有直接链接的系统的中断概率的闭合形式表达式，并获得了相应的多样性顺序。仿真结果证实了我们的理论分析，并表明使用中心极限定理（CLT）来分析系统性能固有的不准确性。即使对于高信噪比（SNR）制度中的少数IRS元素，我们的分析也是准确的。
We analyze the outage probability of an intelligent reflecting surface (IRS)-assisted communication network. A tight upper bound on the outage probability is formulated based on the Chernoff inequality. Furthermore, through an exact asymptotic (a large number of reflecting elements) analysis based on a saddlepoint approximation, we derive closed-form expressions of the outage probability for systems with and without a direct link and obtain the corresponding diversity orders. Simulation results corroborate our theoretical analysis and show the inaccuracies inherent in using the central limit theorem (CLT) to analyze system performance. Our analysis is accurate even for a small number of IRS elements in the high signal-to-noise ratio (SNR) regime.
