3 citations · 4 across the 6 of their papers we have counts for
6 papers
Generative Explainability for Next-Generation Networks: LLM-Augmented XAI with Mutual Feature Interactions
Kiarash Rezaei, Omran Ayoub, Sebastian Troia +3
As artificial intelligence and machine learning (AI/ML) models become integral to network operations, their lack of transparency poses a significant barrier to operator trust. Exis…
Exploiting the Alternatives: Coordinated Learning via Hierarchical RL for Dynamic VNEAP
Ali Al Housseini, Cristina Rottondi, Sebastian Troia +1
Virtual Network Embedding (VNE) is a key enabler of network slicing, yet most formulations assume that each Virtual Network Request (VNR) has a fixed topology. Recently, VNE with A…
On the Optimization of Model Aggregation for Federated Learning at the Network Edge
Mengyao Li, Noah Ploch, Sebastian Troia +3
The rapid increase in connected devices has signifi- cantly intensified the computational and communication demands on modern telecommunication networks. To address these chal- len…
Pair-Bid Auction Model for Optimized Network Slicing in 5G RAN
Mengyao Li, Sebastian Troia, Yingqian Zhang +1
Network slicing is a key 5G technology that enables multiple virtual networks to share physical infrastructure, optimizing flexibility and resource allocation. This involves Mobile…
Experimental Demonstration of ML-Based DWDM System Margin Estimation
Jasper Müller, Frank Slyne, Kaida Kaeval +6
SNR margins between partially and fully loaded DWDM systems are estimated without detailed knowledge of the network. The ML model, trained on simulation data, achieves accurate pre…
Employing Channel Probing to Derive End-of-Life Service Margins for Optical Spectrum Services. To appear in OPTICA Journal of Optical Communications and Networking
K. Kaeval, F. Slyne, S. Troia +8
Optical Spectrum as a Service (OSaaS) spanning over multiple transparent optical network domains, can significantly reduce the investment and operational costs of the end-to-end se…