Publicacoes - INESC TEC

Publicações

Publicações por Rúben Miguel Queirós

2022

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

Autores
Queiros, R; Almeida, EN; Fontes, H; Ruela, J; Campos, R;

Publicação
2022 27TH IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (IEEE ISCC 2022)

Abstract
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 unfeasible due to the large combination of configuration parameters along with the variability of the wireless channel. We propose a simple Deep Reinforcement Learning approach for the automatic RA in Wi-Fi networks, named Data-driven Algorithm for Rate Adaptation (DARA). DARA is standard-compliant. It dynamically adjusts the Wi-Fi Modulation and Coding Scheme (MCS) solely based on the observation of the Signal-to-Noise Ratio (SNR) of the received frames at the transmitter. Our simulation results show that DARA achieves higher throughput when compared with Minstrel High Throughput (HT)

FecharLer Abstract

2023

On the Analysis of Computational Delays in Reinforcement Learning-based Rate Adaptation Algorithms

Autores
Trancoso, R; Queirós, R; Fontes, H; Campos, R;

Publicação
CoRR

Abstract

2022

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

Autores
Queirós, R; Almeida, EN; Fontes, H; Ruela, J; Campos, R;

Publicação
CoRR

Abstract

2023

Rate Adaptation Aware Positioning for Flying Gateways using Reinforcement Learning

Autores
Pantaleão, G; Queirós, R; Fontes, H; Campos, R;

Publicação
CoRR

Abstract

2023

RateRL: A Framework for Developing RL-Based Rate Adaptation Algorithms in ns-3

Autores
Queirós, R; Ferreira, L; Fontes, H; Campos, R;

Publicação
CoRR

Abstract

2023

Trajectory-Aware Rate Adaptation for Flying Networks

Autores
Queirós, R; Ruela, J; Fontes, H; Campos, R;

Publicação
CoRR

Abstract