Stochastic Geometry-based Modelling of Mobile UAV Relay Networks under Realistic Fading
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.
Keywords
Cite
@article{arxiv.2010.06443,
title = {Stochastic Geometry-based Modelling of Mobile UAV Relay Networks under Realistic Fading},
author = {Francois De Saint Moulin and Charles Wiame and Claude Oestges and Luc Vandendorpe},
journal= {arXiv preprint arXiv:2010.06443},
year = {2021}
}
Comments
10 pages, 4 figures. Complete technical paper, associated with a submission at the 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) (https://events.vtsociety.org/vtc2021-spring/) with DOI https://doi.org/10.1109/VTC2021-Spring51267.2021.9448745 First version published on Arxiv on 13/10/2020, added to IEEE Xplore on 15/06/2021