Miguel Camelo

According to our database, Miguel Camelo authored at least 41 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Improving Network Delay Predictions Using GNNs.

Miquel Farreras, Paola Soto, Miguel Camelo, Lluís Fàbrega, Pere Vilà

J. Netw. Syst. Manag., July, 2023

Network Intelligence for NFV Scaling in Closed-Loop Architectures.

Paola Soto, Miguel Camelo, Danny De Vleeschauwer, Yorick De Bock, Chia-Yu Chang, Juan Felipe Botero, Steven Latré

IEEE Commun. Mag., June, 2023

AI-Empowered Management and Orchestration of Vehicular Systems in the Beyond 5G Era.

Nina Slamnik-Krijestorac, Miguel Camelo, Chia-Yu Chang, Paola Soto, Luca Cominardi, Danny De Vleeschauwer, Steven Latré, Johann M. Márquez-Barja

IEEE Netw., 2023

5GECO: A Cross-domain Intelligent Neutral Host Architecture for 5G and Beyond.

João Francisco Nunes Pinheiro, Chia-Yu Chang, Tom Collins, Eric Smekens, Revaz Berozashvili, Adnan Shahid, Danny De Vleeschauwer, Paola Soto, Ingrid Moerman, Johann Márquez-Barja, Jens Buysse, Miguel Camelo

Proceedings of the IEEE INFOCOM 2023, 2023

Orchestration Procedures for the Network Intelligence Stratum in 6G Networks.

Livia Elena Chatzieleftheriou, Marco Gramaglia, Miguel Camelo, Andres Garcia-Saavedra, Evangelos A. Kosmatos, Michele Gucciardo, Paola Soto, George Iosifidis, Lidia Fuentes, Gines Garcia-Aviles, Andra Lutu, Gabriele Baldoni, Marco Fiore

Proceedings of the 2023 Joint European Conference on Networks and Communications & 6G Summit, 2023

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 Latré, Miguel Camelo

Proceedings of the 19th International Conference on Network and Service Management, 2023

An ML-driven framework for edge orchestration in a vehicular NFV MANO environment.

Nina Slamnik-Krijestorac, Miguel Camelo Botero, Luca Cominardi, Steven Latré, Johann M. Márquez-Barja

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022

A General Approach for Traffic Classification in Wireless Networks Using Deep Learning.

Miguel Camelo, Paola Soto, Steven Latré

IEEE Trans. Netw. Serv. Manag., December, 2022

A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition.

David Góez, Paola Soto, Steven Latré, Natalia Gaviria, Miguel Camelo

Algorithms, 2022

Predicting network performance using GNNs: generalization to larger unseen networks.

Miquel Farreras, Paola Soto, Miguel Camelo, Lluís Fàbrega, Pere Vilà

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

DAEMON: A Network Intelligence Plane for 6G Networks.

Miguel Camelo, Marco Gramaglia, Paola Soto, Lidia Fuentes, Joaquín Ballesteros, Antonio Bazco Nogueras, Gines Garcia-Aviles, Steven Latré, Andres Garcia-Saavedra, Marco Fiore

Proceedings of the IEEE Globecom 2022 Workshops, 2022

Network Intelligence for Virtualized RAN Orchestration: The DAEMON Approach.

Marco Gramaglia, Miguel Camelo, Lidia Fuentes, Joaquín Ballesteros, Gabriele Baldoni, Luca Cominardi, Andres Garcia-Saavedra, Marco Fiore

Proceedings of the 2022 Joint European Conference on Networks and Communications & 6G Summit, 2022

Realistic Experimentation Environments for Intelligent and Distributed Management and Orchestration (MANO) in 5G and beyond.

Nina Slamnik-Krijestorac, Paola Soto-Arenas, Miguel Camelo Botero, Luca Cominardi, Steven Latré, Johann M. Márquez-Barja

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

Building Realistic Experimentation Environments for AI-enhanced Management and Orchestration (MANO) of 5G and beyond V2X systems.

Nina Slamnik-Krijestorac, Miguel Camelo Botero, Luca Cominardi, Steven Latré, Johann M. Márquez-Barja

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

Requirements and Specifications for the Orchestration of Network Intelligence in 6G.

Miguel Camelo, Luca Cominardi, Marco Gramaglia, Marco Fiore, Andres Garcia-Saavedra, Lidia Fuentes, Danny De Vleeschauwer, Paola Soto-Arenas, Nina Slamnik-Krijestorac, Joaquín Ballesteros, Chia-Yu Chang, Gabriele Baldoni, Johann M. Márquez-Barja, Peter Hellinckx, Steven Latré

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2021

ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs.

Paola Soto, Miguel Camelo, Kevin Mets, Francesc Wilhelmi, David Góez, Luis Alejandro Fletscher, Natalia Gaviria, Peter Hellinckx, Juan Felipe Botero, Steven Latré

Sensors, 2021

Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning.

Paola Soto, Danny De Vleeschauwer, Miguel Camelo, Yorick De Bock, Koen De Schepper, Chia-Yu Chang, Peter Hellinckx, Juan Felipe Botero, Steven Latré

Proceedings of the Eighth International Conference on Software Defined Systems, 2021

When Deep Learning May Not Be The Right Tool For Traffic Classification.

Kleidi Ismailaj, Miguel Camelo, Steven Latré

Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

Evaluating Deep Learning Networks for Modulation Recognition.

Tina L. Burns, Richard P. Martin, Jorge Ortiz, Ivan Seskar, Dragoslav Stojadinovic, Ryan Davis, Miguel Camelo

Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2021

Synthetic Wireless Signal Generation for Neural Network Algorithms.

Tina L. Burns, Richard P. Martin, Jorge Ortiz, Ivan Seskar, Dragoslav Stojadinovic, Ryan Davis, Miguel Camelo

Proceedings of the 2021 IEEE Conference on Standards for Communications and Networking, 2021

2020

An AI-Based Incumbent Protection System for Collaborative Intelligent Radio Networks.

Miguel Camelo, Ruben Mennes, Adnan Shahid, Jakob Struye, Carlos Donato, Irfan Jabandzic, Spilios Giannoulis, Farouk Mahfoudhi, Prasanthi Maddala, Ivan Seskar, Ingrid Moerman, Steven Latré

IEEE Wirel. Commun., 2020

Collaborative Flow Control in the DARPA Spectrum Collaboration Challenge.

Ruben Mennes, Jakob Struye, Carlos Donato, Miguel Camelo, Irfan Jabandzic, Spilios Giannoulis, Ingrid Moerman, Steven Latré

IEEE Trans. Netw. Serv. Manag., 2020

Parallel Reinforcement Learning With Minimal Communication Overhead for IoT Environments.

Miguel Camelo, Maxim Claeys, Steven Latré

IEEE Internet Things J., 2020

Traffic classification at the radio spectrum level using deep learning models trained with synthetic data.

Tom De Schepper, Miguel Camelo, Jeroen Famaey, Steven Latré

Int. J. Netw. Manag., 2020

Detection of traffic patterns in the radio spectrum for cognitive wireless network management.

Miguel Camelo, Tom De Schepper, Paola Soto, Johann Márquez-Barja, Jeroen Famaey, Steven Latré

Proceedings of the 2020 IEEE International Conference on Communications, 2020

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 Latré

Proceedings of the 16th International Conference on Network and Service Management, 2020

2019

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

Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

Dynamic and Collaborative Spectrum Sharing: The SCATTER Approach.

Spilios Giannoulis, Michael T. Mehari, Adnan Shahid, Dragoslav Stojadinovic, Maxim Claeys, Farouk Mahfoudhi, Wei Liu, Ivan Seskar, Steven Latré, Ingrid Moerman, Carlos Donato, Ruben Mennes, Felipe A. P. de Figueiredo, Irfan Jabandzic, Yorick De Bock, Miguel Camelo, Jakob Struye, Prasanthi Maddala

Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019

A semi-supervised learning approach towards automatic wireless technology recognition.

Miguel Camelo, Adnan Shahid, Jaron Fontaine, Felipe Augusto Pereira de Figueiredo, Eli De Poorter, Ingrid Moerman, Steven Latré

Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019

2018

WMGR: A Generic and Compact Routing Scheme for Data Center Networks.

Daniela Aguirre-Guerrero, Miguel Camelo, Lluís Fàbrega, Pere Vilà

IEEE/ACM Trans. Netw., 2018

Q²-Routing : A Qos-aware Q-Routing algorithm for Wireless Ad Hoc Networks.

Thomas Hendriks, Miguel Camelo, Steven Latré

Proceedings of the 14th International Conference on Wireless and Mobile Computing, 2018

A neural-network-based MF-TDMA MAC scheduler for collaborative wireless networks.

Ruben Mennes, Miguel Camelo, Maxim Claeys, Steven Latré

Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Evaluating Deep Neural Networks to Classify Modulated and Coded Radio Signals.

Phui San Cheong, Miguel Camelo, Steven Latré

Proceedings of the Cognitive Radio Oriented Wireless Networks, 2018

2017

Routing at Large Scale: Advances and Challenges for Complex Networks.

Sahel Sahhaf, Wouter Tavernier, Dimitri Papadimitriou, Davide Careglio, Alok Kumar, Christian Glacet, David Coudert, Nicolas Nisse, Lluís Fàbrega, Pere Vilà, Miguel Camelo, Pieter Audenaert, Didier Colle, Piet Demeester

IEEE Netw., 2017

2016

A Scalable Parallel Q-Learning Algorithm for Resource Constrained Decentralized Computing Environments.

Miguel Camelo, Jeroen Famaey, Steven Latré

Proceedings of the 2nd Workshop on Machine Learning in HPC Environments, 2016

2015

A Multi-objective Routing Algorithm for Wireless Mesh Network in a Smart Cities Environment.

Carlos Andres Lozano-Garzon, Miguel Camelo, Pere Vilà, Yezid Donoso

J. Networks, 2015

2014

A geometric routing scheme in word-metric spaces for data networks.

Miguel Camelo

PhD thesis, 2014

A Fairness Load Balancing Algorithm in HWN Using a Multihoming Strategy.

Yezid Donoso, Carlos Andres Lozano-Garzon, Miguel Camelo, Pere Vilà

Int. J. Comput. Commun. Control, 2014

Geometric Routing With Word-Metric Spaces.

Miguel Camelo, Dimitri Papadimitriou, Lluís Fàbrega, Pere Vilà

IEEE Commun. Lett., 2014

Cayley-Graph-Based Data Centers and Space Requirements of a Routing Scheme Using Automata.

Miguel Camelo, Pere Vilà, Lluís Fàbrega, Dimitri Papadimitriou

Proceedings of the 34th International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops), Madrid, Spain, June 30, 2014

Efficient Routing in Data Center with Underlying Cayley Graph.

Miguel Camelo, Dimitri Papadimitriou, Lluís Fàbrega, Pere Vilà

Proceedings of the Complex Networks V, 2014