论文标题
通过FSO进行回程的上行链路细胞网络的随机几何分析：合作中继VS。反射表面
Stochastic Geometry Analysis of Uplink Cellular Networks with FSO Backhauling: Cooperative Relaying Vs. Reflecting Surfaces
论文作者
论文摘要
在这项工作中，我们考虑使用自由空间光学（FSO）进行回程的上行链路蜂窝网络的性能分析。用户设备（UE）在第二个插槽中与最近的基站（BS）通信，BS将接收到的射频（RF）信号转换为FSO脉冲，并将其传输到数据中心。我们采用上行链路通道的雷利褪色，而FSO的回程涵盖了湍流引起的褪色，后者遵循Málaga分布，天气pathoss以及遵循广义的Beckmann模型分布的指向误差。此外，我们将比较BS表现为解码（DF）继电器或智能反射表面（IRS）时的性能。接下来，我们将提出对IRS相位变速器的最佳设计，以最大程度地减少干扰并提高继电器的速率。利用该框架，我们将得出系统性能指标，例如覆盖率概率以及光谱效率。专注于高SNR，我们将获得多样性的增益，以使工程学洞察系统的性能和局限性。最后，通过蒙特卡洛模拟证实了分析结果。
In this work, we consider the performance analysis of the uplink cellular networks with free space optics (FSO) backhauling. The user equipment (UE) communicates with the nearest Base Station (BS) in first slot while in second slot, the BS converts the received radio frequency (RF) signal into FSO pulse and transmits to the data center. We adopt the Rayleigh fading for the uplink channels while the FSO backhaul encompasses the turbulence-induced fading which follows the Málaga distribution, the weather pathloss, and the pointing errors fading which is distributed following the generalized Beckmann model. Further, we will compare the performances when the BS behaves as either a decode-and-forward (DF) relay or an intelligent reflecting surface (IRS). Next, we will propose an optimal design of the phase shifters of the IRS to minimize the interference and improve the rate to beat relaying. Capitalizing on this framework, we will derive the system performance metrics such as the coverage probability as well as the spectral efficiency. Focusing on high SNR, we will obtain the diversity gain to get engineering insights into the system performance and limitations. Finally, the analytical results are confirmed by Monte Carlo simulations.
