论文标题
通过匹配的瞬间逐渐消失的上行链路IRS辅助NOMA的分析
Analysis of Uplink IRS-Assisted NOMA under Nakagami-m Fading via Moments Matching
论文作者
论文摘要
这封信研究了智能反射表面（IRS）辅助非正交多访问（NOMA）的上行链路中断性能。我们考虑了所有用户都具有直接和反射链接的一般情况，并且所有链接都会发生Nakagami-M褪色。我们将NOMA用户的接收功率近似为gamma随机变量，通过矩匹配。这允许在干扰取消（IC）下进行中断的表达，同时在建模各种传播环境中灵活。我们的分析表明，在某些条件下，IRS的存在可能会降低具有主要视线线（LOS）的用户的性能到基站（BS），而用户以非线观点（NLOS）为主的用户将始终从中受益。
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.
