Acoustic channel model for adaptive downhole communication over deep drill strings. - Miguel Angel Gutierrez-Estevez; Udo Krüger; Kirsten A. Krueger; Konstantinos Manolakis; Volker Jungnickel (ICASSP, 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 (WCNC, 2013)

Adaptive Modulation and Turbo Coding for 3GPP LTE Systems with Limited Feedback. - Konstantinos Manolakis; Miguel Angel Gutierrez-Estevez; Volker Jungnickel (VTC Spring, 2014)

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 (GlobalSIP, 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 (ISWCS, 2016)

Distributed Multi-Object Auctions for Energy Transfer between Harvesting Nodes. - Miguel Angel Gutierrez-Estevez; Slawomir Stanczak (WSA, 2017)

Nonparametric Radio Maps Reconstruction Via Elastic Net Regularization with Multi-Kernels. - Miguel Angel Gutierrez-Estevez; Renato L. G. Cavalcante; Slawomir Stanczak (SPAWC, 2018)

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 (ICASSP, 2020)

A Statistical Learning Framework for QoS Prediction in V2X. - Miguel Angel Gutierrez-Estevez; Zoran Utkovski; Apostolos Kousaridas; Chan Zhou 001 (5GWF, 2021)

Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps. - Miguel Angel Gutierrez-Estevez; Martin Kasparick 001; Renato L. G. Cavalvante; Slawomir Stanczak (CoRR, 2021)

Online Learning of Any-to-Any Path Loss Maps. - Miguel Angel Gutierrez-Estevez; Martin Kasparick 001; Slawomir Stanczak (IEEE Commun. Lett., 2021)

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 (PIMRC, 2022)

QoS Prediction-based Radio Resource Management. - José Mauricio Perdomo; Miguel Angel Gutierrez-Estevez; Apostolos Kousaridas; Chan Zhou 001; José F. Monserrat (VTC Fall, 2022)

Towards a Wireless Network Digital Twin Model: A Heterogeneous Graph Neural Network Approach. - José Mauricio Perdomo; Miguel Angel Gutierrez-Estevez; Chan Zhou 001; José F. Monserrat (ICC Workshops, 2023)

Learning to Communicate with Intent: An Introduction. - Miguel Angel Gutierrez-Estevez; Yiqun Wu; Chan Zhou 001 (PIMRC, 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 (PIMRC, 2023)

Enabling Communication and Control Co-Design in 6G Networks. - Onur Ayan; Nikolaos Pappas 001; Miguel Angel Gutierrez-Estevez; Xueli An; Wolfgang Kellerer (CSCN, 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., 2024)

WirelessNet: An Efficient Radio Access Network Model Based on Heterogeneous Graph Neural Networks. - José Mauricio Perdomo; Miguel Angel Gutierrez-Estevez; Chan Zhou 001; José F. Monserrat (IEEE Access, 2025)

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 (IEEE Trans. Veh. Technol., 2025)