Miguel Camelo

Orcid: 0000-0001-8152-7143

According to our database1, Miguel Camelo authored at least 53 papers between 2014 and 2024.

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Bibliography

2024
Resource-Efficient Spectrum-Based Traffic Classification on Constrained Devices.
IEEE Open J. Commun. Soc., 2024

Solutions for Sustainable and Resilient Communication Infrastructure in Disaster Relief and Management Scenarios.
CoRR, 2024

Designing, Developing, and Validating Network Intelligence for Scaling in Service-Based Architectures based on Deep Reinforcement Learning.
CoRR, 2024

Designing the Network Intelligence Stratum for 6G networks.
Comput. Networks, 2024

Network Slicing as the Ultimate Enabler of Enhanced Service Quality in Vehicular-to-Everything (V2X) World.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

3GPP SEAL as an Edge Application: The Ultimate Enabler of Flexible and Universal Communication between Vulnerable Road Users and Autonomous Vehicles.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Policy Compression for Low-Power Intelligent Scaling in Software-Based Network Architectures.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Optimizing Radio Resource Allocation in 5G using Transport Network-Aware Intelligent RAN.
Proceedings of the IEEE Latin-American Conference on Communications, 2024

Integrating AI Orchestration and Lifecycle Management in 6G Networks: A Pipeline Approach.
Proceedings of the IEEE Latin-American Conference on Communications, 2024

Computational Efficiency of Deep Learning-Based Super Resolution Methods for 5G-NR Channel Estimation.
Proceedings of the IEEE Latin-American Conference on Communications, 2024

Integrating Network Digital Twinning into Future AI-based 6G Systems: The 6G-TWIN Vision.
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2024

Network Intelligence in Action: the DAEMON Perspective.
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2024

2023
Improving Network Delay Predictions Using GNNs.
J. Netw. Syst. Manag., July, 2023

Network Intelligence for NFV Scaling in Closed-Loop Architectures.
IEEE Commun. Mag., June, 2023

AI-Empowered Management and Orchestration of Vehicular Systems in the Beyond 5G Era.
IEEE Netw., 2023

5GECO: A Cross-domain Intelligent Neutral Host Architecture for 5G and Beyond.
Proceedings of the IEEE INFOCOM 2023, 2023

Orchestration Procedures for the Network Intelligence Stratum in 6G Networks.
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.
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.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022
A General Approach for Traffic Classification in Wireless Networks Using Deep Learning.
IEEE Trans. Netw. Serv. Manag., December, 2022

A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition.
Algorithms, 2022

Predicting network performance using GNNs: generalization to larger unseen networks.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

DAEMON: A Network Intelligence Plane for 6G Networks.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

Network Intelligence for Virtualized RAN Orchestration: The DAEMON Approach.
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.
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.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

Requirements and Specifications for the Orchestration of Network Intelligence in 6G.
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.
Sensors, 2021

Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning.
Proceedings of the Eighth International Conference on Software Defined Systems, 2021

When Deep Learning May Not Be The Right Tool For Traffic Classification.
Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

Evaluating Deep Learning Networks for Modulation Recognition.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2021

Synthetic Wireless Signal Generation for Neural Network Algorithms.
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.
IEEE Wirel. Commun., 2020

Collaborative Flow Control in the DARPA Spectrum Collaboration Challenge.
IEEE Trans. Netw. Serv. Manag., 2020

Parallel Reinforcement Learning With Minimal Communication Overhead for IoT Environments.
IEEE Internet Things J., 2020

Traffic classification at the radio spectrum level using deep learning models trained with synthetic data.
Int. J. Netw. Manag., 2020

Detection of traffic patterns in the radio spectrum for cognitive wireless network management.
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.
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.
Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

Dynamic and Collaborative Spectrum Sharing: The SCATTER Approach.
Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019

A semi-supervised learning approach towards automatic wireless technology recognition.
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.
IEEE/ACM Trans. Netw., 2018

Q<sup>2</sup>-Routing : A Qos-aware Q-Routing algorithm for Wireless Ad Hoc Networks.
Proceedings of the 14th International Conference on Wireless and Mobile Computing, 2018

A neural-network-based MF-TDMA MAC scheduler for collaborative wireless networks.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Evaluating Deep Neural Networks to Classify Modulated and Coded Radio Signals.
Proceedings of the Cognitive Radio Oriented Wireless Networks, 2018

2017
Routing at Large Scale: Advances and Challenges for Complex Networks.
IEEE Netw., 2017

2016
A Scalable Parallel Q-Learning Algorithm for Resource Constrained Decentralized Computing Environments.
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.
J. Networks, 2015

2014
A geometric routing scheme in word-metric spaces for data networks.
PhD thesis, 2014

A Fairness Load Balancing Algorithm in HWN Using a Multihoming Strategy.
Int. J. Comput. Commun. Control, 2014

Geometric Routing With Word-Metric Spaces.
IEEE Commun. Lett., 2014

Cayley-Graph-Based Data Centers and Space Requirements of a Routing Scheme Using Automata.
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.
Proceedings of the Complex Networks V, 2014


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