Anestis Dalgkitsis

According to our database, Anestis Dalgkitsis authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SCHE2MA: Scalable, Energy-Aware, Multidomain Orchestration for Beyond-5G URLLC Services.

Anestis Dalgkitsis, Luis A. Garrido, Farhad Rezazadeh, Hatim Chergui, Kostas Ramantas, John S. Vardakas, Christos V. Verikoukis

IEEE Trans. Intell. Transp. Syst., 2023

NetROS-5G: Enhancing Personalization through 5G Network Slicing and Edge Computing in Human-Robot Interactions.

Anestis Dalgkitsis, Christos V. Verikoukis

CoRR, 2023

Admission Control with Resource Efficiency Using Reinforcement Learning in Beyond-5G Networks.

Luis A. Garrido, Kostas Ramantas, Anestis Dalgkitsis, Adlen Ksentini, Christos V. Verikoukis

Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Graph-based Interpretable Anomaly Detection Framework for Network Slice Management in Beyond 5G Networks.

Ashima Chawla, Anne-Marie Bosneag, Anestis Dalgkitsis

Proceedings of the NOMS 2023, 2023

An Experimental Platform of a Beyond-5G Network with Machine Learning Integration.

Luis A. Garrido, Anestis Dalgkitsis, Golshan Famitafreshi, Apostolos Siokis, Kostas Ramantas, Christos V. Verikoukis

Proceedings of the IEEE Global Communications Conference, 2023

SCHEMA III: Dynamic & Scalable VNE Framework Based on Multi-Agent RL for 5G/6G Networks.

Anestis Dalgkitsis, Luis A. Garrido, Kostas Ramantas, John S. Vardakas, George Kormetzas, Christos V. Verikoukis

Proceedings of the IEEE Global Communications Conference, 2023

2022

SafeSCHEMA: Multi-domain Orchestration of Slices based on SafeRL for B5G Networks.

Anestis Dalgkitsis, Ashima Chawla, Anne-Marie Bosneag, Christos V. Verikoukis

Proceedings of the IEEE Global Communications Conference, 2022

2021

Data Driven Service Orchestration for Vehicular Networks.

Anestis Dalgkitsis, Prodromos-Vasileios Mekikis, Angelos Antonopoulos, Christos V. Verikoukis

IEEE Trans. Intell. Transp. Syst., 2021

Machine Learning for Network Slicing in Future Mobile Networks: Design and Implementation.

Luis A. Garrido, Anestis Dalgkitsis, Kostas Ramantas, Christos V. Verikoukis

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2021

Context-Aware Traffic Prediction: Loss Function Formulation for Predicting Traffic in 5G Networks.

Luis A. Garrido, Prodromos-Vasileios Mekikis, Anestis Dalgkitsis, Christos V. Verikoukis

Proceedings of the ICC 2021, 2021

SCHEMA: Service Chain Elastic Management with Distributed Reinforcement Learning.

Anestis Dalgkitsis, Luis A. Garrido, Prodromos-Vasileios Mekikis, Kostas Ramantas, Luis Alonso, Christos V. Verikoukis

Proceedings of the IEEE Global Communications Conference, 2021

2020

Dynamic Resource Aware VNF Placement with Deep Reinforcement Learning for 5G Networks.

Anestis Dalgkitsis, Prodromos-Vasileios Mekikis, Angelos Antonopoulos, Georgios Kormentzas, Christos V. Verikoukis

Proceedings of the IEEE Global Communications Conference, 2020

2018

Traffic forecasting in cellular networks using the LSTM RNN.

Anestis Dalgkitsis, Malamati D. Louta, George T. Karetsos

Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 2018