collaborators

5 papers

cs.NI2026

LLMs and Optical Networks: A Symbiotic Relationship

Mëmëdhe Ibrahimi, Qiaolun Zhang, Giovanni S. Sticca +3

This paper explores the emerging symbiosis between LLMs and optical networks. Massive LLMs require geo-distributed training, which demands advanced optical transport capabilities t…

cs.NI2026

Selective Deployment of Bidirectional Hollow-Core Fibers in Hybrid SMF/HCF Optical Networks

Mëmëdhe Ibrahimi, Giovanni S. Sticca, Angelo Ferrara +1

We investigate selectively deploying bidirectional transmission in hybrid Hollow-Core Fiber (HCF) networks. Upgrading 50% of links to bidirectional HCF yields at least a 40% throug…

quant-ph2026

Selective Placement of Hollow-Core Fibers for QKD and Classical Communication Coexistence

Giovanni Simone Sticca, Alessandro Gagliano, Memedhe Ibrahimi +3

We investigate the benefits of partially upgrading optical networks with hollow-core fibers for QKD-classical communication coexistence. Results show that upgrading 40% of links in…

cs.NI2025

Vertical Federated Learning for Failure-Cause Identification in Disaggregated Microwave Networks

Fatih Temiz, Memedhe Ibrahimi, Francesco Musumeci +2

Machine Learning (ML) has proven to be a promising solution to provide novel scalable and efficient fault management solutions in modern 5G-and-beyond communication networks. In th…

cs.NI2025

Multi-Failure Localization in High-Degree ROADM-based Optical Networks using Rules-Informed Neural Networks

Ruikun Wang, Qiaolun Zhang, Jiawei Zhang +7

To accommodate ever-growing traffic, network operators are actively deploying high-degree reconfigurable optical add/drop multiplexers (ROADMs) to build large-capacity optical netw…