Nikolaos Koursioumpas

According to our database, Nikolaos Koursioumpas authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• 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

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

SIM+: A comprehensive implementation-agnostic information model assisting AI-driven optimization for beyond 5G networks.

Lina Magoula, Nikolaos Koursioumpas, Theodora Panagea, Nancy Alonistioti, Chaima Ghribi, Joshua Shakya

Comput. Networks, 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

2022

AI-driven, Context-Aware Profiling for 5G and Beyond Networks.

Nikolaos Koursioumpas, Sokratis Barmpounakis, Ioannis Stavrakakis, Nancy Alonistioti

IEEE Trans. Netw. Serv. Manag., 2022

AI-driven, QoS prediction for V2X communications in beyond 5G systems.

Sokratis Barmpounakis, Nikolaos Maroulis, Nikolaos Koursioumpas, Apostolos Kousaridas, Angeliki Kalamari, Panagiotis Kontopoulos, Nancy Alonistioti

Comput. Networks, 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

Network Traffic Anomaly Prediction for Beyond 5G Networks.

Nikolaos Koursioumpas, Lina Magoula, Sokratis Barmpounakis, Ioannis Stavrakakis

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

2021

5 Growth: Secure and Reliable Network Slicing for Verticals.

Vitor A. Cunha, Nikolaos Maroulis, Chrysa Papagianni, Javier Sacido, Manuel Jiménez, Fabio Ubaldi, Molka Gharbaoui, Chia-Yu Chang, Nikolaos Koursioumpas, Konstantin Tomakh, Daniel Corujo, João Paulo Barraca, Sokratis Barmpounakis, Denys Kucherenko, Alessio Giorgetti, Andrea Boddi, Luca Valcarenghi, Oleksii Kolodiazhnyi, Aitor Zabala, Josep Xavier Salvat, Andres Garcia-Saavedra

Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2021

LSTM-based QoS prediction for 5G-enabled Connected and Automated Mobility applications.

Sokratis Barmpounakis, Lina Magoula, Nikolaos Koursioumpas, Ramin Khalili, José Mauricio Perdomo, Ramya Panthangi Manjunath

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

2020

Collision avoidance in 5G using MEC and NFV: The vulnerable road user safety use case.

Sokratis Barmpounakis, George Tsiatsios, Michael Papadakis, Evangelos Mitsianis, Nikolaos Koursioumpas, Nancy Alonistioti

Comput. Networks, 2020