Miguel Camelo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
10
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | WCNC | Unveiling Network Sharing Capabilities Enabled by 5G Network Slicing. | Xhulio Limani, Miguel Camelo, Johann M. Mrquez-Barja, Nina Slamnik-Krijestorac |
| 2025 | WCNC | Multi-Domain Network Slicing: Open, Programmable, and Shareable 5G Standalone. | Xhulio Limani, Miguel Camelo, Johann M. Mrquez-Barja, Nina Slamnik-Krijestorac |
| 2024 | NOMS | Policy Compression for Low-Power Intelligent Scaling in Software-Based Network Architectures. | Thomas Av, Paola Soto, Miguel Camelo, Tom De Schepper, Kevin Mets |
| 2024 | VTC | 3GPP SEAL as an Edge Application: The Ultimate Enabler of Flexible and Universal Communication between Vulnerable Road Users and Autonomous Vehicles. | Vincent Charpentier, Amaryllis Leyendeckers, Miguel Camelo, Johann Marquez-Barja, Nina Slamnik-Krijestorac |
| 2024 | VTC | Network Slicing as the Ultimate Enabler of Enhanced Service Quality in Vehicular-to-Everything (V2X) World. | Xhulio Limani, Vincent Charpentier, Arno Troch, Miguel Camelo, Johann M. Mrquez-Barja, Nina Slamnik-Krijestorac |
| 2024 | VTC | Insights into the Performance of 5GOpen@TheBeacon: A Flexible and Scalable 5G Testbed Based on Open Source Solutions. | Joo Francisco Nunes Pinheiro, Andreas Gavrielides, Miguel Camelo, Johann Marquez-Barja |
| 2023 | CNSM | Resource Allocation of Multi-User Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning. | Julian Jimenez, Paola Soto, Danny De Vleeschauwer, Chia-Yu Chang, Yorick De Bock, Steven Latr, Miguel Camelo |
| 2023 | INFOCOM | 5GECO: A Cross-domain Intelligent Neutral Host Architecture for 5G and Beyond. | Joo Francisco Nunes Pinheiro, Chia-Yu Chang, Tom Collins, Eric Smekens, Revaz Berozashvili, Adnan Shahid, Danny De Vleeschauwer, Paola Soto, Ingrid Moerman, Johann Marquez-Barja, Jens Buysse, Miguel Camelo |
| 2022 | GLOBECOM | DAEMON: A Network Intelligence Plane for 6G Networks. | Miguel Camelo, Marco Gramaglia, Paola Soto, Lidia Fuentes, Joaqun Ballesteros, Antonio Bazco Nogueras, Gines Garcia-Aviles, Steven Latr, Andres Garcia-Saavedra, Marco Fiore |
| 2022 | NOMS | Predicting network performance using GNNs: generalization to larger unseen networks. | Miquel Farreras, Paola Soto, Miguel Camelo, Llus Fbrega, Pere Vil |
| 2021 | IM | When Deep Learning May Not Be The Right Tool For Traffic Classification. | Kleidi Ismailaj, Miguel Camelo, Steven Latr |
| 2020 | CNSM | Augmented Wi-Fi: An AI-based Wi-Fi Management Framework for Wi-Fi/LTE Coexistence. | Paola Soto, Miguel Camelo, Jaron Fontaine, Merkebu Girmay, Adnan Shahid, Vasilis Maglogiannis, Eli De Poorter, Ingrid Moerman, Juan Felipe Botero, Steven Latr |
| 2019 | SECON | A Convolutional Neural Network Approach for Classification of LPWAN Technologies: Sigfox, LoRA and IEEE 802.15.4g. | Adnan Shahid, Jaron Fontaine, Miguel Camelo, Jetmir Haxhibeqiri, Martijn Saelens, Zaheer Khan, Ingrid Moerman, Eli De Poorter |
| 2018 | WCNC | A neural-network-based MF-TDMA MAC scheduler for collaborative wireless networks. | Ruben Mennes, Miguel Camelo, Maxim Claeys, Steven Latr |
| 2018 | WiMob | Q | Thomas Hendriks, Miguel Camelo, Steven Latr |
| 2016 | SC | A Scalable Parallel Q-Learning Algorithm for Resource Constrained Decentralized Computing Environments. | Miguel Camelo, Jeroen Famaey, Steven Latr |