Nicola Di Cicco

According to our database, Nicola Di Cicco authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

DeepLS: Local Search for Network Optimization Based on Lightweight Deep Reinforcement Learning.

Nicola Di Cicco, Memedhe Ibrahimi, Sebastian Troia, Massimo Tornatore

IEEE Trans. Netw. Serv. Manag., February, 2024

Hollow-Core-Fiber Placement in Latency-Constrained Metro Networks with edgeDCs.

Giovanni Sticca, Memedhe Ibrahimi, Nicola Di Cicco, Francesco Musumeci, Massimo Tornatore

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

2023

Minimizing the cost of hierarchical optical transport network traffic grooming boards in metro networks.

Aryanaz Attarpour, Memedhe Ibrahimi, Nicola Di Cicco, Francesco Musumeci, Andrea Castoldi, Mario Ragni, Massimo Tornatore

J. Opt. Commun. Netw., October, 2023

Poster: Continual Network Learning.

Nicola Di Cicco, Amir Al Sadi, Chiara Grasselli, Andrea Melis, Gianni Antichi, Massimo Tornatore

Proceedings of the ACM SIGCOMM 2023 Conference, 2023

DRL-FORCH: A Scalable Deep Reinforcement Learning-based Fog Computing Orchestrator.

Nicola Di Cicco, Gaetano Francesco Pittalà, Gianluca Davoli, Davide Borsatti, Walter Cerroni, Carla Raffaelli, Massimo Tornatore

Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

Uncertainty-Aware QoT Forecasting in Optical Networks with Bayesian Recurrent Neural Networks.

Nicola Di Cicco, Jacopo Talpini, Memedhe Ibrahimi, Marco Savi, Massimo Tornatore

Proceedings of the IEEE International Conference on Communications, 2023

2022

Selective hybrid EDFA/Raman amplifier placement to mitigate lightpath degradation in (C + L) networks.

Giovanni Sticca, Memedhe Ibrahimi, Francesco Musumeci, Nicola Di Cicco, Andrea Castoldi, Rosanna Pastorelli, Massimo Tornatore

JOCN, 2022

Optimization over time of reliable 5G-RAN with network function migrations.

Nicola Di Cicco, Federico Tonini, Valentina Cacchiani, Carla Raffaelli

Comput. Networks, 2022

Explainable Artificial Intelligence in communication networks: A use case for failure identification in microwave networks.

Omran Ayoub, Nicola Di Cicco, Fatima Ezzeddine, Federica Bruschetta, Roberto Rubino, Massimo Nardecchia, Michele Milano, Francesco Musumeci, Claudio Passera, Massimo Tornatore

Comput. Networks, 2022

2021

Scalable Multi-objective Optimization of Reliable Latency-constrained Optical Transport Networks.

Nicola Di Cicco, Valentina Cacchiani, Carla Raffaelli

Proceedings of the 17th International Conference on the Design of Reliable Communication Networks, 2021