论文标题
可重新配置的智能表面有助于多细胞Noma网络：随机几何模型
Reconfigurable Intelligent Surfaces Aided Multi-Cell NOMA Networks: A Stochastic Geometry Model
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。通过随机几何形状研究了下行链路RIS辅助网络。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）模型评估角度分布，从理论上讲，其入射率和反射角度均匀分布。此外，我们为配对的Noma使用者提供了封闭形式的分析和渐近表达式。最后，我们得出了两个配对的Noma用户的Ergodic速率的分析表达式，并计算了典型用户的渐近表达式。分析结果表明1）当RIS的长度增加时，可实现的速率达到上限； 2）利用RIS可以增强路径损失截距以提高性能而不会影响带宽。我们的结果表明，1）RIS辅助NOMA网络的性能要比常规的Noma网络高，并且2）由于RISS能够改变NOMA用户的通道质量，因此可以改变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. The downlink RIS-aided NOMA networks are investigated 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) model, which theoretically demonstrates that the angles of incidence and reflection are uniformly distributed. Additionally, we derive closed-form analytical and asymptotic expressions for coverage probabilities of the paired NOMA users. Lastly, we derive the analytical expressions of the ergodic rate for both of the paired NOMA users and calculate the asymptotic expressions for the typical user. The analytical results indicate that 1) the achievable rates reach an upper limit when the length of RIS increases; 2) exploiting RISs can enhance the path loss intercept to improve the performance without influencing the bandwidth. Our results show that 1) RIS-aided NOMA networks have superior performance than the conventional NOMA networks, and 2) the SIC order in NOMA systems can be altered since RISs are able to change the channel quality of NOMA users.
