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arXiv · 2010.06443

Stochastic Geometry-based Modelling of Mobile UAV Relay Networks under Realistic Fading

Francois De Saint Moulin·Charles Wiame·Claude Oestges·Luc Vandendorpe
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Abstract

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.

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Francois De Saint Moulin, Charles Wiame, Claude Oestges, Luc Vandendorpe. 2020-10-13. Stochastic Geometry-based Modelling of Mobile UAV Relay Networks under Realistic Fading. https://doi.org/10.1109/vtc2021-spring51267.2021.9448745

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