Miguel Angel Gutierrez-Estevez

According to our database, Miguel Angel Gutierrez-Estevez authored at least 19 papers between 2013 and 2024.

Collaborative distances:

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

2024

A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks.

Nikolaos Koursioumpas, Lina Magoula, Nikolaos Petropouleas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili

IEEE Trans. Green Commun. Netw., December, 2024

Enabling Communication and Control Co-Design in 6G Networks.

Onur Ayan, Nikolaos Pappas, Miguel Angel Gutierrez-Estevez, Xueli An, Wolfgang Kellerer

CoRR, 2024

DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks.

Nikolaos Koursioumpas, Lina Magoula, Ioannis Stavrakakis, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili

CoRR, 2024

2023

A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks.

Lina Magoula, Nikolaos Koursioumpas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nikolaos Petropouleas, Miguel Angel Gutierrez-Estevez, Ramin Khalili

Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Learning to Communicate with Intent: An Introduction.

Miguel Angel Gutierrez-Estevez, Yiqun Wu, Chan Zhou

Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Towards a Wireless Network Digital Twin Model: A Heterogeneous Graph Neural Network Approach.

José Mauricio Perdomo, Miguel Angel Gutierrez-Estevez, Chan Zhou, José F. Monserrat

Proceedings of the IEEE International Conference on Communications, 2023

2022

QoS Prediction-based Radio Resource Management.

José Mauricio Perdomo, Miguel Angel Gutierrez-Estevez, Apostolos Kousaridas, Chan Zhou, José F. Monserrat

Proceedings of the 96th Vehicular Technology Conference, 2022

A Deep Learning Approach for Distributed QoS Prediction in Beyond 5G Networks.

Lina Magoula, Nikolaos Koursioumpas, Sokratis Barmpounakis, Panagiotis Kontopoulos, Miguel Angel Gutierrez-Estevez, Ramin Khalili, Apostolos Kousaridas

Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

2021

Online Learning of Any-to-Any Path Loss Maps.

Miguel Angel Gutierrez-Estevez, Martin Kasparick, Slawomir Stanczak

IEEE Commun. Lett., 2021

Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps.

Miguel Angel Gutierrez-Estevez, Martin Kasparick, Renato L. G. Cavalvante, Slawomir Stanczak

CoRR, 2021

A Statistical Learning Framework for QoS Prediction in V2X.

Miguel Angel Gutierrez-Estevez, Zoran Utkovski, Apostolos Kousaridas, Chan Zhou

Proceedings of the 4th IEEE 5G World Forum, 2021

2020

Quality-of-Service Prediction for Physical-layer Security via Secrecy Maps.

Miguel Angel Gutierrez-Estevez, Zoran Utkovski, Patrick Agostini, Daniel Schäufele, Matthias Frey, Igor Bjelakovic, Slawomir Stanczak

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

Nonparametric Radio Maps Reconstruction Via Elastic Net Regularization with Multi-Kernels.

Miguel Angel Gutierrez-Estevez, Renato L. G. Cavalcante, Slawomir Stanczak

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

2017

Distributed Multi-Object Auctions for Energy Transfer between Harvesting Nodes.

Miguel Angel Gutierrez-Estevez, Slawomir Stanczak

Proceedings of the WSA 2017, 2017

2016

STFDMA: A novel technique for ad-hoc V2V networks exploiting radio channels frequency diversity.

Miguel Angel Gutierrez-Estevez, David Gozalvez Serrano, Mladen Botsov, Slawomir Stanczak

Proceedings of the International Symposium on Wireless Communication Systems, 2016

A distributed solution for proportional fairness optimization in load coupled OFDMA networks.

Miguel Angel Gutierrez-Estevez, Renato L. G. Cavalcante, Slawomir Stanczak, J. Zhang, H. Zhuang

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2014

Adaptive Modulation and Turbo Coding for 3GPP LTE Systems with Limited Feedback.

Konstantinos Manolakis, Miguel Angel Gutierrez-Estevez, Volker Jungnickel

Proceedings of the IEEE 79th Vehicular Technology Conference, 2014

2013

Acoustic broadband communications over deep drill strings using adaptive OFDM.

Miguel Angel Gutierrez-Estevez, Udo Krüger, Kirsten A. Krueger, Konstantinos Manolakis, Volker Jungnickel, Katrin Jaksch, Kai Krüger, Stefan Mikulla, Robert Giese, Michael Sohmer, Matthias Reich

Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

Acoustic channel model for adaptive downhole communication over deep drill strings.

Miguel Angel Gutierrez-Estevez, Udo Krüger, Kirsten A. Krueger, Konstantinos Manolakis, Volker Jungnickel

Proceedings of the IEEE International Conference on Acoustics, 2013