69 citations · 447 across the 41 of their papers we have counts for
5 papers · 2 filters
Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks
Vinod Bajaj, Mathieu Chagnon, Sander Wahls +1
We present a simple, efficient "direct learning" approach to train Volterra series-based digital pre-distortion filters using neural networks. We show its superior performance over…
On the Comparison of Single-Carrier vs. Digital Multi-Carrier Signaling for Long-Haul Transmission of Probabilistically Shaped Constellation Formats
Kaoutar Benyahya, Amirhossein Ghazisaeidi, Vahid Aref +6
We report on theoretical and experimental investigations of the nonlinear tolerance of single carrier and digital multicarrier approaches with probabilistically shaped constellatio…
Single-ended Coherent Receiver
Son Thai Le, Vahid Aref, Junho Cho
Commercial coherent receivers utilize balanced photodetectors (PDs) with high single-port rejection ratio (SPRR) to mitigate the signal-signal beat interference (SSBI) due to the s…
Deep Neural Network-aided Soft-Demapping in Optical Coherent Systems: Regression versus Classification
Pedro J. Freire, Jaroslaw E. Prilepsky, Yevhenii Osadchuk +2
We examine here what type of predictive modelling, classification, or regression, using neural networks (NN), fits better the task of soft-demapping based post-processing in cohere…
End-to-End Deep Learning of Long-Haul Coherent Optical Fiber Communications via Regular Perturbation Model
Vladislav Neskorniuk, Andrea Carnio, Vinod Bajaj +4
We present a novel end-to-end autoencoder-based learning for coherent optical communications using a "parallelizable" perturbative channel model. We jointly optimized constellation…