activity
20222025
most citedWi-Fi Rate Adaptation using a Simple Deep Reinforcement Learning Approach

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NI2025

Context-aware Rate Adaptation for Predictive Flying Networks using Contextual Bandits

Ruben Queiros, Megumi Kaneko, Helder Fontes +1

The increasing complexity of wireless technologies, such as Wi-Fi, presents significant challenges for Rate Adaptation (RA) due to the large configuration space of transmission par…

cs.NI2025

Joint Channel Bandwidth Assignment and Relay Positioning for Predictive Flying Networks

Ruben Queiros, Megumi Kaneko, Helder Fontes +1

Flying Networks (FNs) have emerged as a promising solution to provide on-demand wireless connectivity when network coverage is insufficient or the communications infrastructure is…

cs.NI2023★ 1 cited

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…

cs.NI2023

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…

cs.NI2023

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…

cs.NI2023

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…

cs.NI2022★ 2 cited

Wi-Fi Rate Adaptation using a Simple Deep Reinforcement Learning Approach

Ruben Queiros, Eduardo Nuno Almeida, Helder Fontes +2

The increasing complexity of recent Wi-Fi amendments is making optimal Rate Adaptation (RA) a challenge. The use of classic algorithms or heuristic models to address RA is becoming…