ML-based Radio Resource Management in 5G and Beyond Networks: A survey IA Bartsiokas, PK Gkonis, DI Kaklamani, IS Venieris IEEE Access, 2022 | 53 | 2022 |
On relay-based subcarrier allocation and power management in 5G multicellular networks KA Psilopanagiotis, IA Bartsiokas, PK Gkonis, DI Kaklamani 2022 IEEE 95th Vehicular Technology Conference:(VTC2022-Spring), 1-6, 2022 | 6 | 2022 |
Federated Learning for 6G HetNets' Physical Layer Optimization: Perspectives, Trends, and Challenges IA Bartsiokas, PK Gkonis, AK Papazafeiropoulos, DI Kaklamani, ... Encyclopedia of Information Science and Technology, Sixth Edition, 1-28, 2025 | 5 | 2025 |
A federated learning-based resource allocation scheme for relaying-assisted communications in multicellular next generation network topologies IA Bartsiokas, PK Gkonis, DI Kaklamani, IS Venieris Electronics 13 (2), 390, 2024 | 3 | 2024 |
A DL-enabled relay node placement and selection framework in multicellular networks IA Bartsiokas, PK Gkonis, DI Kaklamani, IS Venieris IEEE Access 11, 65153-65169, 2023 | 3 | 2023 |
Συστήματα πολλαπλών κεραιών σε ευρυζωνικά δίκτυα 5ης γενιάς Ι Μπαρτσιώκας | 1 | 2020 |
Machine and deep learning algorithms for radio resource management in 5G and beyond networks IA Bartsiokas https://phdtheses.ekt.gr/eadd/handle/10442/54804, 2023 | | 2023 |