Lorenzo Tunesi

Orcid: 0000-0001-7890-5115

According to our database1, Lorenzo Tunesi authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Impact of Waveband and Wavelength Switching in the Next-Generation Optical Networks.
Proceedings of the 24th International Conference on Transparent Optical Networks, 2024

2023
Integrated Multi-Band WSS: From Design to Performance Evaluation.
Proceedings of the International Conference on Photonics in Switching and Computing, 2023

Multiband Photonic Integrated WSS Beyond 1Tb/s Data Center Interconnect Technology.
Proceedings of the International Conference on Photonics in Switching and Computing, 2023

A Comprehensive Network Performance Analysis of Multi-band Photonic Integrated WSS for 400G and 800G Transmission.
Proceedings of the 23rd International Conference on Transparent Optical Networks, 2023

2022
Networking assessment of ROADM architecture based on a photonics integrated WSS for 800G multi-band optical transport.
JOCN, 2022

Networking Analysis of Photonics Integrated Multiband WSS Based ROADM Architecture.
Proceedings of the 30th International Conference on Software, 2022

Machine Learning-based Model for Defining Circuit-level Parameters of VCSEL.
Proceedings of the 30th International Conference on Software, 2022

Modular Photonic-Integrated Device for Multi-Band Wavelength-Selective Switching.
Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

Network Performance of ROADM Architecture Enabled by Novel Wideband-integrated WSS.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Automatic Management of N × N Photonic Switch Powered by Machine Learning in Software-Defined Optical Transport.
IEEE Open J. Commun. Soc., 2021

Machine Learning Driven Model for Software Management of Photonics Switching Systems.
Proceedings of the IEEE Global Communications Conference, 2021


  Loading...