UAV Mobility Tracing in 72 Urban Environments
Description
This data is collected using Panda5gSim, which is available on GitHub: https://github.com/yemenlinux/panda5gsim It contains 3D transformations and ray-tracing Line-of-Sight (LoS) conditions between two Unmanned Aerial Vehicles (UAVs) and ten ground mobile users. The data is collected by generating 72 synthetic urban environments based on ITU-R P.1410 urban configuration. Number of runs: 3 for each scenario. Scenario number 1: files started with "no_buildings*" Scenario number 2: files started with "with_buildings*" Number of environments in each file: 72. Each urban environment is simulated for 120 seconds. Fields: Column Name : Description Time : Time stamp RxNode : Receiver’s (mobile ground user) name. TxNode : Transmitter’s or UAV's (airborne access point) name. RayLoS : Ray-tracing LoS for the omnidirectional antenna. dRayLoS : Ray-tracing LoS for the 3GPP directional antenna. nBuildings : Number of buildings between UAV and ground user. v_rx : Velocity of mobile ground user. v_tx : Velocity of UAV (airborne access point). phi : The azimuth (heading) angle between the transmitter and the receiver. theta : The elevation (pitch) angle between the transmitter and the receiver. d3D : The direct distance in 3D space between the transmitter and the receiver. d2D : The horizontal projection of the distance between the transmitter and the receiver. Gain : The antenna gain for the 3GPP directional antenna is calculated by the relative transformations of the receiver as seen from the transmitter. Transforms : The transformation tuple. The transformation tuple contains the following: (1) the receiver’s transformation; (2) the transmitter’s transformation; (3) the relative transformation of the receiver as seen from the transmitter; (4) the receiver’s identification; (5) the transmitter’s identification. h : The height difference between the receiver and the transmitter. Environment : The environment name is formatted as (Urban\_$\alpha$\_$\beta$\_$\gamma$).
Files
Steps to reproduce
Use Panda5gSim, which is available on GitHub: https://github.com/yemenlinux/panda5gsim
Institutions
- Sana'a University