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Miguel Camelo
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2020 – today
- 2024
- [j17]Paola Soto
, Miguel Camelo, Gines Garcia-Aviles, Esteban Municio, Marco Gramaglia, Evangelos A. Kosmatos, Nina Slamnik-Krijestorac, Danny De Vleeschauwer, Antonio Bazco Nogueras, Lidia Fuentes, Joaquín Ballesteros, Andra Lutu, Luca Cominardi, Ivan Paez, Sergi Alcalá-Marín, Livia Elena Chatzieleftheriou, Andres Garcia-Saavedra, Marco Fiore:
Designing the Network Intelligence Stratum for 6G networks. Comput. Networks 254: 110780 (2024) - [j16]David Góez
Resource-Efficient Spectrum-Based Traffic Classification on Constrained Devices. IEEE Open J. Commun. Soc. 5: 3066-3088 (2024) - [c28]Livia Elena Chatzieleftheriou, Marco Gramaglia, Marco Fiore, Nina Slamnik-Krijestorac, Miguel Camelo, Paola Soto, Evangelos A. Kosmatos, Andres Garcia-Saavedra, Michele Gucciardo:
Network Intelligence in Action: the DAEMON Perspective. EuCNC/6G Summit 2024: 759-764 - [c27]Sébastien Faye, Miguel Camelo, Jean-Sébastien Sottet, Christoph Sommer, Mario Franke, Julien Baudouin, German Castellanos, Régis Decorme, Maria Pia Fanti, Ramin Fuladi, Gunes Kesik, Beatriz Mendes, Chris Murphy, Stephen Parker, Simon Pryor, Sidi Mohammed Senouci, Ion Turcanu
Integrating Network Digital Twinning into Future AI-based 6G Systems: The 6G-TWIN Vision. EuCNC/6G Summit 2024: 883-888 - [c26]Thomas Avé
Policy Compression for Low-Power Intelligent Scaling in Software-Based Network Architectures. NOMS 2024: 1-7 - [i2]Paola Soto, Miguel Camelo, Gines Garcia-Aviles, Esteban Municio, Marco Gramaglia, Evangelos A. Kosmatos, Nina Slamnik-Krijestorac, Danny De Vleeschauwer, Antonio Bazco Nogueras, Lidia Fuentes, Joaquín Ballesteros, Andra Lutu, Luca Cominardi, Ivan Paez, Sergi Alcalá-Marín, Livia Elena Chatzieleftheriou, Andres Garcia-Saavedra, Marco Fiore:
Designing the Network Intelligence Stratum for 6G Networks. CoRR abs/2405.04432 (2024) - [i1]Paola Soto, Miguel Camelo, Danny De Vleeschauwer, Yorick De Bock, Nina Slamnik-Krijestorac, Chia-Yu Chang, Natalia Gaviria, Erik Mannens, Juan Felipe Botero, Steven Latré:
Designing, Developing, and Validating Network Intelligence for Scaling in Service-Based Architectures based on Deep Reinforcement Learning. CoRR abs/2405.04441 (2024) - 2023
- [j15]Paola Soto, Miguel Camelo, Danny De Vleeschauwer, Yorick De Bock, Chia-Yu Chang, Juan Felipe Botero, Steven Latré:
Network Intelligence for NFV Scaling in Closed-Loop Architectures. IEEE Commun. Mag. 61(6): 66-72 (2023) - [j14]Miquel Farreras
Improving Network Delay Predictions Using GNNs. J. Netw. Syst. Manag. 31(3): 65 (2023) - [j13]Nina Slamnik-Krijestorac, Miguel Camelo, Chia-Yu Chang, Paola Soto, Luca Cominardi, Danny De Vleeschauwer, Steven Latré, Johann M. Márquez-Barja
AI-Empowered Management and Orchestration of Vehicular Systems in the Beyond 5G Era. IEEE Netw. 37(4): 305-313 (2023) - [c25]Nina Slamnik-Krijestorac, Miguel Camelo Botero, Luca Cominardi, Steven Latré, Johann M. Márquez-Barja
An ML-driven framework for edge orchestration in a vehicular NFV MANO environment. CCNC 2023: 728-733 - [c24]Julian Jimenez, Paola Soto, Danny De Vleeschauwer, Chia-Yu Chang, Yorick De Bock, Steven Latré, Miguel Camelo:
Resource Allocation of Multi-User Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning. CNSM 2023: 1-5 - [c23]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:
Orchestration Procedures for the Network Intelligence Stratum in 6G Networks. EuCNC/6G Summit 2023: 347-352 - [c22]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
5GECO: A Cross-domain Intelligent Neutral Host Architecture for 5G and Beyond. INFOCOM Workshops 2023: 1-6 - 2022
- [j12]David Góez
A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition. Algorithms 15(12): 441 (2022) - [j11]Miguel Camelo
A General Approach for Traffic Classification in Wireless Networks Using Deep Learning. IEEE Trans. Netw. Serv. Manag. 19(4): 5044-5063 (2022) - [c21]Miguel Camelo, Luca Cominardi, Marco Gramaglia, Marco Fiore, Andres Garcia-Saavedra, Lidia Fuentes, Danny De Vleeschauwer
Requirements and Specifications for the Orchestration of Network Intelligence in 6G. CCNC 2022: 1-9 - [c20]Nina Slamnik-Krijestorac, Miguel Camelo Botero, Luca Cominardi, Steven Latré, Johann M. Márquez-Barja
Building Realistic Experimentation Environments for AI-enhanced Management and Orchestration (MANO) of 5G and beyond V2X systems. CCNC 2022: 437-440 - [c19]Nina Slamnik-Krijestorac, Paola Soto-Arenas, Miguel Camelo Botero, Luca Cominardi, Steven Latré, Johann M. Márquez-Barja
Realistic Experimentation Environments for Intelligent and Distributed Management and Orchestration (MANO) in 5G and beyond. CCNC 2022: 943-944 - [c18]Marco Gramaglia, Miguel Camelo, Lidia Fuentes, Joaquín Ballesteros, Gabriele Baldoni, Luca Cominardi, Andres Garcia-Saavedra, Marco Fiore:
Network Intelligence for Virtualized RAN Orchestration: The DAEMON Approach. EuCNC 2022: 482-487 - [c17]Miguel Camelo, Marco Gramaglia, Paola Soto, Lidia Fuentes, Joaquín Ballesteros, Antonio Bazco Nogueras, Gines Garcia-Aviles, Steven Latré, Andres Garcia-Saavedra, Marco Fiore:
DAEMON: A Network Intelligence Plane for 6G Networks. GLOBECOM (Workshops) 2022: 1341-1346 - [c16]Miquel Farreras
Predicting network performance using GNNs: generalization to larger unseen networks. NOMS 2022: 1-6 - 2021
- [j10]Paola Soto
ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs. Sensors 21(13): 4321 (2021) - [c15]Tina L. Burns, Richard P. Martin, Jorge Ortiz, Ivan Seskar, Dragoslav Stojadinovic, Ryan Davis, Miguel Camelo:
Synthetic Wireless Signal Generation for Neural Network Algorithms. CSCN 2021: 174-179 - [c14]Tina L. Burns, Richard P. Martin, Jorge Ortiz, Ivan Seskar, Dragoslav Stojadinovic, Ryan Davis, Miguel Camelo:
Evaluating Deep Learning Networks for Modulation Recognition. DySPAN 2021: 25-32 - [c13]Kleidi Ismailaj, Miguel Camelo, Steven Latré:
When Deep Learning May Not Be The Right Tool For Traffic Classification. IM 2021: 884-889 - [c12]Paola Soto, Danny De Vleeschauwer
Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning. SDS 2021: 1-8 - 2020
- [j9]Tom De Schepper
Traffic classification at the radio spectrum level using deep learning models trained with synthetic data. Int. J. Netw. Manag. 30(4) (2020) - [j8]Miguel Camelo
Parallel Reinforcement Learning With Minimal Communication Overhead for IoT Environments. IEEE Internet Things J. 7(2): 1387-1400 (2020) - [j7]Ruben Mennes
Collaborative Flow Control in the DARPA Spectrum Collaboration Challenge. IEEE Trans. Netw. Serv. Manag. 17(4): 2024-2038 (2020) - [j6]Miguel Camelo
An AI-Based Incumbent Protection System for Collaborative Intelligent Radio Networks. IEEE Wirel. Commun. 27(5): 16-23 (2020) - [c11]Paola Soto
Augmented Wi-Fi: An AI-based Wi-Fi Management Framework for Wi-Fi/LTE Coexistence. CNSM 2020: 1-9 - [c10]Miguel Camelo
Detection of traffic patterns in the radio spectrum for cognitive wireless network management. ICC 2020: 1-6
2010 – 2019
- 2019
- [c9]Miguel Camelo
A semi-supervised learning approach towards automatic wireless technology recognition. DySPAN 2019: 1-10 - [c8]Spilios Giannoulis
Dynamic and Collaborative Spectrum Sharing: The SCATTER Approach. DySPAN 2019: 1-6 - [c7]Adnan Shahid, Jaron Fontaine, Miguel Camelo, Jetmir Haxhibeqiri
A Convolutional Neural Network Approach for Classification of LPWAN Technologies: Sigfox, LoRA and IEEE 802.15.4g. SECON 2019: 1-8 - 2018
- [j5]Daniela Aguirre-Guerrero
WMGR: A Generic and Compact Routing Scheme for Data Center Networks. IEEE/ACM Trans. Netw. 26(1): 356-369 (2018) - [c6]Phui San Cheong, Miguel Camelo
Evaluating Deep Neural Networks to Classify Modulated and Coded Radio Signals. CrownCom 2018: 177-188 - [c5]Ruben Mennes, Miguel Camelo, Maxim Claeys, Steven Latré:
A neural-network-based MF-TDMA MAC scheduler for collaborative wireless networks. WCNC 2018: 1-6 - [c4]Thomas Hendriks, Miguel Camelo
Q2-Routing : A Qos-aware Q-Routing algorithm for Wireless Ad Hoc Networks. WiMob 2018: 108-115 - 2017
- [j4]Sahel Sahhaf, Wouter Tavernier, Dimitri Papadimitriou, Davide Careglio
Routing at Large Scale: Advances and Challenges for Complex Networks. IEEE Netw. 31(4): 108-118 (2017) - 2016
- [c3]Miguel Camelo
A Scalable Parallel Q-Learning Algorithm for Resource Constrained Decentralized Computing Environments. MLHPC@SC 2016: 27-35 - 2015
- [j3]Carlos Andres Lozano-Garzon, Miguel Camelo, Pere Vilà, Yezid Donoso:
A Multi-objective Routing Algorithm for Wireless Mesh Network in a Smart Cities Environment. J. Networks 10(01): 60-69 (2015) - 2014
- [b1]Miguel Camelo:
A geometric routing scheme in word-metric spaces for data networks. University of Girona, Spain, 2014 - [j2]Miguel Camelo, Dimitri Papadimitriou, Lluís Fàbrega
Geometric Routing With Word-Metric Spaces. IEEE Commun. Lett. 18(12): 2125-2128 (2014) - [j1]Yezid Donoso, Carlos Andres Lozano-Garzon, Miguel Camelo, Pere Vilà
A Fairness Load Balancing Algorithm in HWN Using a Multihoming Strategy. Int. J. Comput. Commun. Control 9(5): 555-569 (2014) - [c2]Miguel Camelo, Dimitri Papadimitriou, Lluís Fàbrega
Efficient Routing in Data Center with Underlying Cayley Graph. CompleNet 2014: 189-197 - [c1]Miguel Camelo, Pere Vilà
Cayley-Graph-Based Data Centers and Space Requirements of a Routing Scheme Using Automata. ICDCS Workshops 2014: 63-69
Coauthor Index
aka: Paola Soto-Arenas
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last updated on 2024-10-07 22:25 CEST by the dblp team
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