2022
Authors
Queiros, R; Almeida, EN; Fontes, H; Ruela, J; Campos, R;
Publication
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)
2023
Authors
Trancoso, R; Queirós, R; Fontes, H; Campos, R;
Publication
CoRR
Abstract
2022
Authors
Queirós, R; Almeida, EN; Fontes, H; Ruela, J; Campos, R;
Publication
CoRR
Abstract
2023
Authors
Pantaleão, G; Queirós, R; Fontes, H; Campos, R;
Publication
CoRR
Abstract
2023
Authors
Queirós, R; Ferreira, L; Fontes, H; Campos, R;
Publication
CoRR
Abstract
2023
Authors
Queirós, R; Ruela, J; Fontes, H; Campos, R;
Publication
CoRR
Abstract
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