activity
20172020
most citedEnd-to-End Optimized Transmission over Dispersive Intensity-Modulated Channels Using Bidirectional Recurrent Neural Networks

100 citations · 131 across the 10 of their papers we have counts for

collaborators

13 papers

eess.SP2020

Modulation Format Dependent, Closed-Form Formula for Estimating Nonlinear Interference in S+C+L Band Systems

Daniel Semrau, Lidia Galdino, Eric Sillekens +3

A closed-form formula for the nonlinear interference estimation of arbitrary modulation formats in ultra-wideband transmission systems is presented. Enabled by the proposed approac…

eess.SP20201 cited

Experimental Investigation of Deep Learning for Digital Signal Processing in Short Reach Optical Fiber Communications

Boris Karanov, Mathieu Chagnon, Vahid Aref +4

We investigate methods for experimental performance enhancement of auto-encoders based on a recurrent neural network (RNN) for communication over dispersive nonlinear channels. In…

eess.SP20208 cited

Optical Fiber Communication Systems Based on End-to-End Deep Learning

Boris Karanov, Mathieu Chagnon, Vahid Aref +3

We investigate end-to-end optimized optical transmission systems based on feedforward or bidirectional recurrent neural networks (BRNN) and deep learning. In particular, we report…

eess.SP2020

SWIFT: Scalable Ultra-Wideband Sub-Nanosecond Wavelength Switching for Data Centre Networks

Thomas Gerard, Christopher Parsonson, Zacharaya Shabka +3

We propose a time-multiplexed DS-DBR/SOA-gated system to deliver low-power fast tuning across S-/C-/L-bands. Sub-ns switching is demonstrated, supporting 12250 GHz channels…

eess.SP2020

Packet Timescale Wavelength Switching Enabled by Regression Optimisation

Thomas Gerard, Hubert Dzieciol, Joshua Benjamin +5

A linear regression algorithm is applied to a digital-supermode distributed Bragg reflector laser to optimise wavelength switching times. The algorithm uses the output of a digital…

eess.SP20192 cited

Experimental Demonstration of Learned Time-Domain Digital Back-Propagation

Eric Sillekens, Wenting Yi, Daniel Semrau +9

We present the first experimental demonstration of learned time-domain digital back-propagation (DBP), in 64-GBd dual-polarization 64-QAM signal transmission over 1014 km. Performa…