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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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


    Beteiligte:


    Erscheinungsdatum :

    01.04.2021


    Format / Umfang :

    2312951 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Analysis of wireless device-to-device networks under Rician fading using stochastic geometry

    Demey, Simon / Wiame, Charles / Vandendorpe, Luc et al. | IEEE | 2020


    Stochastic Geometry Based Coverage Estimation Using Realistic Urban Shadowing Models

    Wiame, Charles / Vandendorpe, Luc / Oestges, Claude | IEEE | 2018


    Stochastic Geometry Modeling of Cellular Uplink Power Control under Composite Rayleigh-Lognormal Fading

    Herath, Prasanna / Tellambura, Chintha / Krzymien, Witold A. | IEEE | 2015


    Cooperative Relay Assisted Federated Learning over Fading Channels

    Dong, Zhihao / Zhu, Xu / Cao, Jie et al. | IEEE | 2024