Browsing by author "Soto Arenas, Paola"
Now showing items 1-11 of 11
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A General Approach for Traffic Classification in Wireless Networks Using Deep Learning
Camelo Botero, Miguel; Soto Arenas, Paola; Latre, Steven (2022) -
A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition
Goez, David; Soto Arenas, Paola; Latre, Steven; Gaviria, Natalia; Camelo Botero, Miguel (2022) -
AI-Empowered Management and Orchestration of Vehicular Systems in the Beyond 5G Era
Slamnik-Krijestorac, Nina; Camelo Botero, Miguel; Chang, Chia-Yu; Soto Arenas, Paola; Cominardi, Luca; De Vleeschauwer, Danny; Latre, Steven; Marquez-Barja, Johann (2023) -
ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs
Soto Arenas, Paola; Camelo Botero, Miguel; Mets, Kevin; Wilhelmi, Francesc; Goez, David; Fletscher, Luis A.; Gaviria, Natalia; Hellinckx, Peter; Botero, Juan F.; Latre, Steven (2021) -
Augmented Wi-Fi: An AI-based Wi-Fi Management Framework for Wi-Fi/LTE Coexistence
Soto Arenas, Paola; Camelo Botero, Miguel; Fontaine, Jaron; Girmay, Merkebu Tekaw; Shahid, Adnan; Maglogiannis, Vasilis; De Poorter, Eli; Moerman, Ingrid; Botero, Juan F.; Latre, Steven (2020) -
Detection of traffic patterns in the radio spectrum for cognitive wireless network management
Camelo Botero, Miguel; De Schepper, Tom; Soto Arenas, Paola; Marquez-Barja, Johann; Famaey, Jeroen; Latre, Steven (2020) -
Improving Network Delay Predictions Using GNNs
Farreras, Miquel; Soto Arenas, Paola; Camelo Botero, Miguel; Fabrega, Lluis; Vila, Pere (2023) -
Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs
Wilhelmi, Francesc; Góez, David; Soto Arenas, Paola; Vallés, Ramon; Alfaiβi, Mohammad; Algunayah, Abdulrahman; Martı́n‐Pérez, Jorge; Girletti, Luigi; Mohan, Rajasekar; Ramnan, K Venkat; Bellalta, Boris (2021) -
Network Intelligence for NFV Scaling in Closed-Loop Architectures
Soto Arenas, Paola; Camelo Botero, Miguel; De Vleeschauwer, Danny; De Bock, Yorick; Chang, Chia-Yu; Botero, Juan F.; Latre, Steven (2023) -
Predicting network performance using GNNs: generalization to larger unseen networks
Farreras, Miquel; Soto Arenas, Paola; Camelo Botero, Miguel; Fabrega, Lluis; Vila, Pere (2022) -
Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning
Soto Arenas, Paola; De Vleeschauwer, Danny; Camelo Botero, Miguel; De Bock, Yorick; De Schepper, Koen; Chang, Chia-Yu; Hellinckx, Peter; Botero, Juan F.; Latre, Steven (2021)