论文标题
在现实褪色下，基于移动无人机继电器网络的基于随机几何建模
Stochastic Geometry-based Modelling of Mobile UAV Relay Networks under Realistic Fading
论文作者
论文摘要
我们考虑基于无人机（UAV）的继电器网络。陆地基站（TBS）和无人机继电器节点（RN）是使用两个均匀泊松点过程（HPPP）建模的。无人机可以在固定位置悬停或按照特定的位移方案移动。典型用户设备（UE）的覆盖范围概率（CP）是通过直接链接（从TBS到UE）进行通信或通过继电器链接（从TBS到UE通过UAV RN）进行通信的。每个链接都可以在视线（LOS）或非视线（NLOS）中，并且会遭受与距离有关的参数的衰落。该覆盖范围是通过随机几何（SG）和蒙特卡洛（MC）模拟来计算的。使用无人机作为RN的好处是根据其高度，密度和移动性方案分析的。
We consider a relay network based on Unmanned Aerial Vehicles (UAV). Terrestrial Base Stations (TBS) and UAV Relay Nodes (RN) are modelled using two Homogeneous Poisson Point Processes (HPPP). UAVs can hover at a fixed position or move following specific displacement schemes. The Coverage Probability (CP) of a typical user equipment (UE) is derived, either when it communicates via a direct link (from the TBS to the UE) or via a relay link (from the TBS to the UE through a UAV RN). Every link can be in Line-of-Sight (LoS) or Non Line-of-Sight (NLoS), and suffers from Rician fading with distance-dependent parameters. This coverage is calculated by means of both stochastic geometry (SG) and Monte-Carlo (MC) simulations. The benefits of the use of UAV as RNs are analysed depending on their altitude, density, and mobility scheme.
