6 citations · 17 across the 18 of their papers we have counts for
6 papers · 1 filter
Rate Adaptation Aware Positioning for Flying Gateways using Reinforcement Learning
Gabriella Pantaleão, Rúben Queirós, Hélder Fontes +1
With the growing connectivity demands, Unmanned Aerial Vehicles (UAVs) have emerged as a prominent component in the deployment of Next Generation On-demand Wireless Networks. Howev…
RateRL: A Framework for Developing RL-Based Rate Adaptation Algorithms in ns-3
Ruben Queiros, Luis Ferreira, Helder Fontes +1
The increasing complexity of recent Wi-Fi amendments is making the use of traditional algorithms and heuristics unfeasible to address the Rate Adaptation (RA) problem. This is due…
Trajectory-Aware Rate Adaptation for Flying Networks
Ruben Queiros, Jose Ruela, Helder Fontes +1
Despite the trend towards ubiquitous wireless connectivity, there are scenarios where the communications infrastructure is damaged and wireless coverage is insufficient or does not…
On the Analysis of Computational Delays in Reinforcement Learning-based Rate Adaptation Algorithms
Ricardo Trancoso, Ruben Queiros, Helder Fontes +1
Several research works have applied Reinforcement Learning (RL) algorithms to solve the Rate Adaptation (RA) problem in Wi-Fi networks. The dynamic nature of the radio link require…
UAV-Assisted Wireless Communications: An Experimental Analysis of A2G and G2A Channels
Kamran Shafafi, Eduardo Nuno Almeida, André Coelho +3
Unmanned Aerial Vehicles (UAVs) offer promising potential as communications node carriers, providing on-demand wireless connectivity to users. While existing literature presents va…
Position-Based Machine Learning Propagation Loss Model Enabling Fast Digital Twins of Wireless Networks in ns-3
Eduardo Nuno Almeida, Helder Fontes, Rui Campos +1
Digital twins have been emerging as a hybrid approach that combines the benefits of simulators with the realism of experimental testbeds. The accurate and repeatable set-ups replic…