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ORCIDMiguel Angel Gutierrez-Estevez
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Journal Articles
- 2021
[j1]Miguel Angel Gutierrez-Estevez
, Martin Kasparick, Slawomir Stanczak:
Online Learning of Any-to-Any Path Loss Maps. IEEE Commun. Lett. 25(5): 1573-1577 (2021)
Conference and Workshop Papers
- 2023
- [c14]José Mauricio Perdomo, Miguel Angel Gutierrez-Estevez, Chan Zhou, José F. Monserrat:
Towards a Wireless Network Digital Twin Model: A Heterogeneous Graph Neural Network Approach. ICC Workshops 2023: 29-35 - [c13]Miguel Angel Gutierrez-Estevez, Yiqun Wu, Chan Zhou:
Learning to Communicate with Intent: An Introduction. PIMRC 2023: 1-7 - [c12]Lina Magoula, Nikolaos Koursioumpas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nikolaos Petropouleas, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks. PIMRC 2023: 1-6 - 2022
- [c11]Lina Magoula, Nikolaos Koursioumpas, Sokratis Barmpounakis, Panagiotis Kontopoulos, Miguel Angel Gutierrez-Estevez, Ramin Khalili, Apostolos Kousaridas:
A Deep Learning Approach for Distributed QoS Prediction in Beyond 5G Networks. PIMRC 2022: 1407-1412 - [c10]José Mauricio Perdomo, Miguel Angel Gutierrez-Estevez, Apostolos Kousaridas, Chan Zhou, José F. Monserrat:
QoS Prediction-based Radio Resource Management. VTC Fall 2022: 1-6 - 2021
- [c9]Miguel Angel Gutierrez-Estevez, Zoran Utkovski, Apostolos Kousaridas, Chan Zhou:
A Statistical Learning Framework for QoS Prediction in V2X. 5GWF 2021: 441-446 - 2020
- [c8]Miguel Angel Gutierrez-Estevez, Zoran Utkovski, Patrick Agostini, Daniel Schäufele, Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Quality-of-Service Prediction for Physical-layer Security via Secrecy Maps. ICASSP 2020: 2867-2871 - 2018
- [c7]Miguel Angel Gutierrez-Estevez, Renato L. G. Cavalcante, Slawomir Stanczak:
Nonparametric Radio Maps Reconstruction Via Elastic Net Regularization with Multi-Kernels. SPAWC 2018: 1-5 - 2017
- [c6]Miguel Angel Gutierrez-Estevez, Slawomir Stanczak:
Distributed Multi-Object Auctions for Energy Transfer between Harvesting Nodes. WSA 2017: 1-7 - 2016
- [c5]Miguel Angel Gutierrez-Estevez, Renato L. G. Cavalcante, Slawomir Stanczak, J. Zhang, H. Zhuang:
A distributed solution for proportional fairness optimization in load coupled OFDMA networks. GlobalSIP 2016: 550-554 - [c4]Miguel Angel Gutierrez-Estevez, David Gozalvez Serrano, Mladen Botsov, Slawomir Stanczak:
STFDMA: A novel technique for ad-hoc V2V networks exploiting radio channels frequency diversity. ISWCS 2016: 182-187 - 2014
- [c3]Konstantinos Manolakis, Miguel Angel Gutierrez-Estevez, Volker Jungnickel:
Adaptive Modulation and Turbo Coding for 3GPP LTE Systems with Limited Feedback. VTC Spring 2014: 1-5 - 2013
- [c2]Miguel Angel Gutierrez-Estevez, Udo Krüger, Kirsten A. Krueger, Konstantinos Manolakis, Volker Jungnickel:
Acoustic channel model for adaptive downhole communication over deep drill strings. ICASSP 2013: 4883-4887 - [c1]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:
Acoustic broadband communications over deep drill strings using adaptive OFDM. WCNC 2013: 4089-4094
Informal and Other Publications
- 2024
- [i6]Nikolaos Koursioumpas, Lina Magoula, Ioannis Stavrakakis, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks. CoRR abs/2401.10158 (2024) - [i5]Onur Ayan, Nikolaos Pappas, Miguel Angel Gutierrez-Estevez, Xueli An, Wolfgang Kellerer:
Enabling Communication and Control Co-Design in 6G Networks. CoRR abs/2402.16462 (2024) - 2023
- [i4]Lina Magoula, Nikolaos Koursioumpas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nikolaos Petropouleas, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks. CoRR abs/2306.14237 (2023) - [i3]Nikolaos Koursioumpas, Lina Magoula, Nikolaos Petropouleas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks. CoRR abs/2308.10664 (2023) - 2022
- [i2]Miguel Angel Gutierrez-Estevez, Yiqun Wu, Chan Zhou:
Learning to Communicate with Intent: An Introduction. CoRR abs/2211.09613 (2022) - 2021
- [i1]Miguel Angel Gutierrez-Estevez, Martin Kasparick, Renato L. G. Cavalvante, Slawomir Stanczak:
Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps. CoRR abs/2107.06677 (2021)
Coauthor Index
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