Leonardo Minelli

Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 37o ciclo (2021-2024)
Dipartimento di Elettronica e Telecomunicazioni (DET)


Dottorato di ricerca

Argomento di ricerca

Digital Signal Processing assistito da Machine Learning per comunicazioni ottiche


Interessi di ricerca

Optical and Wireless Digital Transmissions Systems


He received the Bachelor degree (cum laude) in Electronic Engineering and the M.S. degree (cum laude) in Communications and Computer Networks Engineering (CCNE) from the Politecnico di Torino, in 2019 and 2021, respectively.

He is currently a Ph.D. student in the Dipartimento di Elettronica e Telecomunicazioni (DET) at Politecnico di Torino, where it work within the Optical Communication Group (OptCom), under the supervision of Roberto Gaudino and Gabriella Bosco .

His research work is currently focused on investigating the use of Machine Learning algorithms in support of the Digital Signal Processing (DSP) techniques conventionally adopted for optical communication systems.+

In particular, together with Roberto Gaudino, he is currently developing efficient optimization algorithms based on Artificial Neural Networks ,in order to perform nonlinear Digital Pre-Distortion in Data Center Interconnects (DCI). Marketwise, most of short reach DCI with a range up to 100 meters are low cost IM-DD (Intensity Modulation-Direct Detection) optical links leveraging the use of Multi-Modal Fiber (MMF) and Vertical-Cavity Surface-Emitting Lasers (VCSEL), which require the use of DSP blocks within the transceiver in order to reliably transmit at extremely high bit-rates (more than 100 Gbps per lambda).

Together with Gabriella Bosco, he is also investigating the use of Machine Learning-aided DSP in the field of Quality of Transmission (QoT) and Optical Performance Monitoring (OPM): in particular, developing efficient monitoring tools to estimate the Inter-Channel Interference (ICI) variations over gridless Nyquist-WDM (Wavelength Division Multiplexing) Optical transport Networks (OTN).



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