论文标题
IRS辅助MU-MISO系统的SINR分析
SINR Analysis of an IRS Assisted MU-MISO System
论文作者
论文摘要
在这项工作中，我们表征了智能反射表面（IRS）辅助多用户多输入单式输出（MU-MISO）通信系统的中断概率（OP）。使用两步近似方法，我们通过对数符号随机变量为任何下行链路用户而言，近似于信噪比加上噪声比率（SINR）。使用OP的闭合形式表达研究了各种系统参数的影响。可以得出结论，IRS的位置具有关键作用，但是如果IRS的位置次优，IRS要素数量的适当增加将有助于弥补性能损失。
In this work, we characterize the outage probability (OP) of an intelligent reflecting surface (IRS) assisted multi-user multiple-input-single-output (MU-MISO) communication system. Using a two-step approximation method, we approximate the signal-to-interference-plus-noise ratio (SINR) for any downlink user by a Log-Normal random variable. The impact of various system parameters is studied using the closed-form expression of OP. It is concluded that the position of IRS has a critical role, but an appropriate increase in the number of IRS elements would help to compensate for the loss in performance if the position of IRS is suboptimal.
