This letter investigates the uplink outage performance of intelligent reflecting surface (IRS)-assisted non-orthogonal multiple access (NOMA). We consider the general case where all users have both direct and reflection links, and all links undergo Nakagami-m fading. We approximate the received powers of the NOMA users as Gamma random variables via moments matching. This allows for tractable expressions of the outage under interference cancellation (IC), while being flexible in modeling various propagation environments. Our analysis shows that under certain conditions, the presence of an IRS might degrade the performance of users that have dominant line-of-sight (LOS) to the base station (BS), while users dominated by non-line-of-sight (NLOS) will always benefit from it.

中文翻译：

---

基于矩匹配的 Nakagami-m 衰落下上行 IRS 辅助 NOMA 分析

这封信调查了智能反射面 (IRS) 辅助的非正交多址 (NOMA) 的上行链路中断性能。我们考虑所有用户都有直接和反射链接的一般情况，并且所有链接都经历 Nakagami-m 衰落。我们通过矩匹配将 NOMA 用户的接收功率近似为 Gamma 随机变量。这允许对干扰消除 (IC) 下的中断进行易处理的表达，同时灵活地建模各种传播环境。我们的分析表明，在某些条件下，IRS 的存在可能会降低对基站 (BS) 具有主导视线 (LOS) 的用户的性能，而以非视线为主的用户 ( NLOS）将始终从中受益。