Paolo Monti
Paolo Monti är biträdande professor och chef för enheten Optiska nätverk vid avdelningen för Kommunikation, antenner och optiska nätverk.
Visar 64 publikationer
AI/ML-as-a-Service for optical network automation: use cases and challenges [Invited]
Towards Explainable Reinforcement Learning in Optical Networks: The RMSA Use Case
Analysis and Mitigation of Unwanted Biases in ML-based QoT Classification Tasks
TAPI-based Telemetry Streaming in Multi-Domain Optical Transport Network
Techno-economics of 5G transport deployments
Demonstrating the Benefits of Service-Aware Pod Autoscaling with Shared Resources
Cascading-failure-Aware Disaster Recovery in Optical Cloud Networks
Machine-Learning-as-a-Service for Optical Networks: Use Cases and Benefits
P5: Event-driven Policy Framework for P4-based Traffic Engineering
Detection of abnormal activities on a SM or MM fiber
P4-based Telemetry Processing for Fast Soft Failure Recovery in Packet-Optical Networks
Scalable and Efficient Pipeline for ML-based Optical Network Monitoring
Techno-economics of Fiber vs. Microwave for Mobile Transport Network Deployments [Invited]
Cluster-Based Method for Eavesdropping Identification and Localization in Optical Links
Machine-learning-based method for fiber-bending eavesdropping detection
DRL-based RMSCA for SDM Networks with Core Switching in Multi-Core Fibres
Benefits of Pod dimensioning with best-effort resources in bare metal cloud native deployments
A Flexible and Scalable ML-Based Diagnosis Module for Optical Networks: A Security Use Case
Eavesdropping Detection and Localization in WDM Optical System
Proactive Spectrum Defragmentation Leveraging Spectrum Occupancy State Information
Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks
Eavesdropping G.652 vs. G.657 fibres: a performance comparison
Fiber- vs. Microwave-based 5G Transport: a Total Cost of Ownership Analysis
Reliable Slicing in Optical Metro Networks with Reconfigurable Backup Resources
DeepDefrag: A deep reinforcement learning framework for spectrum defragmentation
Virtual Networking for Lowering Cost of Ownership
Introduction to the ONDM 2021 special issue
A Resource Sharing Method for Reliable Slice as a Service Provisioning in 5G Metro Networks
Evolving 5G: ANIARA, an edge-cloud perspective
Scalable Physical Layer Security Components for Microservice-Based Optical SDN Controllers
End-to-End Provisioning of Latency and Availability Constrained 5G Services
Optimal QoS-Aware Allocation of Virtual Network Resources to Mixed Mobile-Optical Network Slices
Storage Protection with Connectivity and Processing Restoration for Survivable Cloud Services
TeraFlow: Secured autonomic traffic management for a tera of SDN flows
Rethinking of Optical Transport Network Design for 5G/6G Mobile Communication
Network automation: challenges, enablers, and benefits
Availability-Guaranteed Service Function Chain Provisioning with Optional Shared Backups
Forecasting power load curves from spatial and temporal mobile data
Total Cost of Ownership of Digital vs. Analog Radio-Over-Fiber Architectures for 5G Fronthauling
The Optical RL-Gym: an open-source toolkit for applying reinforcement learning in optical networks
Network Slicing Automation: Challenges and Benefits
A Heuristic Approach for the Design of UAV-Based Disaster Relief in Optical Metro Networks
Optical Transport Network Design for 5G Fixed Wireless Access
Reinforcement Learning for Slicing in a 5G Flexible RAN
A Shared-Path Shared-Compute Planning Strategy for a Resilient Hybrid C-RAN
Cost Benefits of Centralizing Service Processing in 5G Network Infrastructures
Techno-economic and business feasibility analysis of 5G transport networks
Energy- and fatigue-aware RWA in optical backbone networks
Cost-Optimal Deployment of a C-RAN with Hybrid Fiber/FSO Fronthaul
Machine Learning Methods for Slice Admission in 5G Networks
A Slice Admission Policy Based on Big Data Analytics for Multi-Tenant 5G Networks
Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks
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