论文标题
可重构智能表面的下行链路分析协助NOMA网络
Downlink Analysis for Reconfigurable Intelligent Surfaces Aided NOMA Networks
论文作者
论文摘要
通过激活阻塞用户并改变连续的干扰取消（SIC）序列，可重新配置的智能表面（RISS）变得有望增强非正交多访问（NOMA）系统。这项工作通过随机几何形状研究了RIS辅助NOMA网络的下行性能。我们首先介绍了RIS反射通道的独特路径损失模型。然后，我们根据泊松簇过程（PCP）框架评估角度分布，从理论上讲，这表明入射率和反射角度均匀分布。最后，我们得出了配对Noma用户的覆盖概率的封闭形式表达式。我们的结果表明，1）RIS AD的NOMA网络的表现要比传统的Noma网络更好； 2）由于RISS能够更改Noma用户的渠道收益，因此可以更改Noma系统中的SIC订单。
By activating blocked users and altering successive interference cancellation (SIC) sequences, reconfigurable intelligent surfaces (RISs) become promising for enhancing non-orthogonal multiple access (NOMA) systems. This work investigates the downlink performance of RIS-aided NOMA networks via stochastic geometry. We first introduce the unique path loss model for RIS reflecting channels. Then, we evaluate the angle distributions based on a Poisson cluster process (PCP) framework, which theoretically demonstrates that the angles of incidence and reflection are uniformly distributed. Lastly, we derive closed-form expressions for coverage probabilities of the paired NOMA users. Our results show that 1) RIS-aided NOMA networks perform better than the traditional NOMA networks; 2) the SIC order in NOMA systems can be altered since RISs are able to change the channel gains of NOMA users.
