Browsing imec Publications by imec author "23581f5f3ff8bb175721f2f171ca484eaaef1ed7"
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A convolutional neural network approach for classification of LPWAN technologies: Sigfox, LoRA and IEEE 802.15.4g
Shahid, Adnan; Fontaine, Jaron; Camelo Botero, Miguel; Haxhibeqiri, Jetmir; Saelens, Martijn; Khan, Zaheer; Moerman, Ingrid; De Poorter, Eli (2019) -
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) -
A neural-network-based MF-TDMA MAC scheduler for collaborative wireless networks
Mennes, Ruben; Camelo Botero, Miguel; Claeys, Maxim; Latre, Steven (2018) -
A semi-supervised learning approach towards automatic wireless technology recognition
Camelo Botero, Miguel; Shahid, Adnan; Fontaine, Jaron; Pereira de Figueiredo, Felipe Augusto; De Poorter, Eli; Moerman, Ingrid; Latre, Steven (2019) -
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) -
An AI-based incumbent protection system for collaborative intelligent radio networks
Camelo Botero, Miguel; Mennes, Ruben; Shahid, Adnan; Struye, Jakob; Jabandzic, Irfan; Giannoulis, Spilios; Donato Morales, Carlos; Mahfoudhi, Farouk; Maddala, Prasanthi; Seskar, Ivan; Moerman, Ingrid; Latre, Steven (2020) -
An ML-driven framework for edge orchestration in a vehicular NFV MANO environment
Slamnik-Krijestorac, Nina; Camelo Botero, Miguel; Cominardi, Luca; 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) -
Collaborative flow control in the DARPA Spectrum Collaboration Challenge
Mennes, Ruben; Struye, Jakob; Donato Morales, Carlos; Camelo Botero, Miguel; Jabandzic, Irfan; Giannoulis, Spilios; Moerman, Ingrid; 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) -
Evaluating Deep Learning Networks for Modulation Recognition
Burns, Tina L.; Martin, Richard P.; Ortiz, Jorge; Seskar, Ivan; Stojadinovic, Dragoslav; Davis, Ryan; Camelo Botero, Miguel (2021) -
Evaluating Deep Neural Networks to classify Modulated and Coded Radio Signals
Cheong, Phui San; Camelo Botero, Miguel; Latre, Steven (2019) -
Improving Network Delay Predictions Using GNNs
Farreras, Miquel; Soto Arenas, Paola; Camelo Botero, Miguel; Fabrega, Lluis; Vila, Pere (2023) -
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) -
Network Intelligence for Virtualized RAN Orchestration: The DAEMON Approach
Gramaglia, Marco; Camelo Botero, Miguel; Fuentes, Lidia; Ballesteros, Joaquin; Baldoni, Gabriele; Cominardi, Luca; Garcia-Saavedra, Andres; Fiore, Marco (2022) -
Orchestration Procedures for the Network Intelligence Stratum in 6G Networks
Chatzieleftheriou, Livia Elena; Gramaglia, Marco; Camelo Botero, Miguel; Garcia-Saavedra, Andres; Kosmatos, Evangelos; Gucciardo, Michele; Soto Arenas, Paola; Iosifidis, George; Fuentes, Lidia; Garcia-Aviles, Gines; Lutu, Andra; Baldoni, Gabriele; Fiore, Marco (2023) -
Parallel reinforcement learning with minimal communication overhead fo IoT environments
Camelo Botero, Miguel; Claeys, Maxim; Latre, Steven (2020) -
Predicting network performance using GNNs: generalization to larger unseen networks
Farreras, Miquel; Soto Arenas, Paola; Camelo Botero, Miguel; Fabrega, Lluis; Vila, Pere (2022)