Miguel Angel Gutierrez-Estevez

25 papers B 4Misc 2Journal 10Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks. IEEE Trans. Veh. Technol. Nikolaos Koursioumpas, Lina Magoula, Ioannis Stavrakakis, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili
2025	J	`jnl`	WirelessNet: An Efficient Radio Access Network Model Based on Heterogeneous Graph Neural Networks. IEEE Access José Mauricio Perdomo, Miguel Angel Gutierrez-Estevez, Chan Zhou, José F. Monserrat
2024	J	`jnl`	A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks. IEEE Trans. Green Commun. Netw. Nikolaos Koursioumpas, Lina Magoula, Nikolaos Petropouleas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili
2024	J	`jnl`	DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks. CoRR Nikolaos Koursioumpas, Lina Magoula, Ioannis Stavrakakis, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili
2024	—	`conf`	Enabling Communication and Control Co-Design in 6G Networks. CSCN Onur Ayan, Nikolaos Pappas, Miguel Angel Gutierrez-Estevez, Xueli An, Wolfgang Kellerer
2024	J	`jnl`	Enabling Communication and Control Co-Design in 6G Networks. CoRR Onur Ayan, Nikolaos Pappas, Miguel Angel Gutierrez-Estevez, Xueli An, Wolfgang Kellerer
2023	J	`jnl`	A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks. CoRR Nikolaos Koursioumpas, Lina Magoula, Nikolaos Petropouleas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili
2023	B	`conf`	A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks. PIMRC Lina Magoula, Nikolaos Koursioumpas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nikolaos Petropouleas, Miguel Angel Gutierrez-Estevez, Ramin Khalili
2023	J	`jnl`	A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks. CoRR Lina Magoula, Nikolaos Koursioumpas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nikolaos Petropouleas, Miguel Angel Gutierrez-Estevez, Ramin Khalili
2023	B	`conf`	Learning to Communicate with Intent: An Introduction. PIMRC Miguel Angel Gutierrez-Estevez, Yiqun Wu, Chan Zhou
2023	—	`conf`	Towards a Wireless Network Digital Twin Model: A Heterogeneous Graph Neural Network Approach. ICC Workshops José Mauricio Perdomo, Miguel Angel Gutierrez-Estevez, Chan Zhou, José F. Monserrat
2022	B	`conf`	A Deep Learning Approach for Distributed QoS Prediction in Beyond 5G Networks. PIMRC Lina Magoula, Nikolaos Koursioumpas, Sokratis Barmpounakis, Panagiotis Kontopoulos, Miguel Angel Gutierrez-Estevez, Ramin Khalili, Apostolos Kousaridas
2022	J	`jnl`	Learning to Communicate with Intent: An Introduction. CoRR Miguel Angel Gutierrez-Estevez, Yiqun Wu, Chan Zhou
2022	—	`conf`	QoS Prediction-based Radio Resource Management. VTC Fall José Mauricio Perdomo, Miguel Angel Gutierrez-Estevez, Apostolos Kousaridas, Chan Zhou, José F. Monserrat
2021	—	`conf`	A Statistical Learning Framework for QoS Prediction in V2X. 5GWF Miguel Angel Gutierrez-Estevez, Zoran Utkovski, Apostolos Kousaridas, Chan Zhou
2021	J	`jnl`	Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps. CoRR Miguel Angel Gutierrez-Estevez, Martin Kasparick, Renato L. G. Cavalvante, Slawomir Stanczak
2021	J	`jnl`	Online Learning of Any-to-Any Path Loss Maps. IEEE Commun. Lett. Miguel Angel Gutierrez-Estevez, Martin Kasparick, Slawomir Stanczak
2020	Misc	`conf`	Quality-of-Service Prediction for Physical-layer Security via Secrecy Maps. ICASSP Miguel Angel Gutierrez-Estevez, Zoran Utkovski, Patrick Agostini, Daniel Schäufele, Matthias Frey, Igor Bjelakovic, Slawomir Stanczak
2018	—	`conf`	Nonparametric Radio Maps Reconstruction Via Elastic Net Regularization with Multi-Kernels. SPAWC Miguel Angel Gutierrez-Estevez, Renato L. G. Cavalcante, Slawomir Stanczak
2017	—	`conf`	Distributed Multi-Object Auctions for Energy Transfer between Harvesting Nodes. WSA Miguel Angel Gutierrez-Estevez, Slawomir Stanczak
2016	—	`conf`	A distributed solution for proportional fairness optimization in load coupled OFDMA networks. GlobalSIP Miguel Angel Gutierrez-Estevez, Renato L. G. Cavalcante, Slawomir Stanczak, J. Zhang, H. Zhuang
2016	—	`conf`	STFDMA: A novel technique for ad-hoc V2V networks exploiting radio channels frequency diversity. ISWCS Miguel Angel Gutierrez-Estevez, David Gozalvez Serrano, Mladen Botsov, Slawomir Stanczak
2014	—	`conf`	Adaptive Modulation and Turbo Coding for 3GPP LTE Systems with Limited Feedback. VTC Spring Konstantinos Manolakis, Miguel Angel Gutierrez-Estevez, Volker Jungnickel
2013	B	`conf`	Acoustic broadband communications over deep drill strings using adaptive OFDM. WCNC 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
2013	Misc	`conf`	Acoustic channel model for adaptive downhole communication over deep drill strings. ICASSP Miguel Angel Gutierrez-Estevez, Udo Krüger, Kirsten A. Krueger, Konstantinos Manolakis, Volker Jungnickel