论文标题
IRS和AF继电器协助的5G网络的端到端模拟
End-to-End Simulation of 5G Networks Assisted by IRS and AF Relays
论文作者
论文摘要
在毫米波（MMWave）频率上经历的高传播和渗透损失需要第五代（5G）基站的超密集部署，这对于网络运营商来说可能是不可行的且昂贵的。已经提出了综合访问和回程（IAB）来部分解决此问题，即使对功耗和可伸缩性的担忧引起了人们的关注。最近，研究界一直在调查智能反射表面（IRSS），并放大和前进（AF）接力赛是在5G场景中解决覆盖范围问题的更节能的替代方案。沿着这些行，本文依赖于基于NS-3的新模拟框架来模拟IRS/AF系统，并具有全堆栈，端到端透视图，并考虑了通道模型的影响和5G NR网络的协议堆栈。我们的目标是证明这些技术是否可以用于中继5G流量请求，如果是的，则如何将IRS/AF节点尺寸作为最终用户数量的函数。
The high propagation and penetration loss experienced at millimeter wave (mmWave) frequencies requires ultra-dense deployments of 5th generation (5G) base stations, which may be infeasible and costly for network operators. Integrated Access and Backhaul (IAB) has been proposed to partially address this issue, even though raising concerns in terms of power consumption and scalability. Recently, the research community has been investigating Intelligent Reflective Surfaces (IRSs) and Amplify-and-Forward (AF) relays as more energy-efficient alternatives to solve coverage issues in 5G scenarios. Along these lines, this paper relies on a new simulation framework, based on ns-3, to simulate IRS/AF systems with a full-stack, end-to-end perspective, with considerations on to the impact of the channel model and the protocol stack of 5G NR networks. Our goal is to demonstrate whether these technologies can be used to relay 5G traffic requests and, if so, how to dimension IRS/AF nodes as a function of the number of end users.
