research
∙
03/29/2023
UAV-Assisted Wireless Communications: An Experimental Analysis of Air-to-Ground and Ground-to-Air Channels in Open Environments
Unmanned Aerial Vehicles (UAVs) offer promising potential as communicati...
share
research
∙
02/22/2023
Position-Based Machine Learning Propagation Loss Model Enabling Fast Digital Twins of Wireless Networks in ns-3
Digital twins have been emerging as a hybrid approach that combines the ...
research
∙
05/09/2022
Machine Learning Based Propagation Loss Module for Enabling Digital Twins of Wireless Networks in ns-3
The creation of digital twins of experimental testbeds allows the valida...
research
∙
03/16/2022
Traffic-Aware UAV Placement Using a Generalizable Deep Reinforcement Learning Methodology
Unmanned Aerial Vehicles (UAVs) acting as Flying Access Points (FAPs) ar...
research
∙
02/08/2022
Wi-Fi Rate Adaptation using a Simple Deep Reinforcement Learning Approach
The increasing complexity of recent Wi-Fi amendments is making optimal R...
research
∙
04/15/2020
Joint Traffic-Aware UAV Placement and Predictive Routing for Aerial Networks
Aerial networks, composed of Unmanned Aerial Vehicles (UAVs) acting as W...
research
∙
12/17/2019
A Routing Metric for Inter-flow Interference-aware Flying Multi-hop Networks
The growing demand for broadband communications anytime, anywhere has pa...
research
∙
07/01/2019
