70 citations · 305 across the 27 of their papers we have counts for
4 papers · 1 filter
Perturbation-based FEC-assisted Iterative Nonlinearity Compensation for WDM Systems
Edson P. da Silva, Metodi P. Yankov, Francesco Da Ros +2
A perturbation-based nonlinear compensation scheme assisted by a feedback from the forward error correction (FEC) decoder is numerically and experimentally investigated. It is show…
Geometric Constellation Shaping for Fiber Optic Communication Systems via End-to-end Learning
Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov +4
In this paper, an unsupervised machine learning method for geometric constellation shaping is investigated. By embedding a differentiable fiber channel model within two neural netw…
Deep Learning of Geometric Constellation Shaping including Fiber Nonlinearities
Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov +1
A new geometric shaping method is proposed, leveraging unsupervised machine learning to optimize the constellation design. The learned constellation mitigates nonlinear effects wit…
Experimental Verification of Rate Flexibility and Probabilistic Shaping by 4D Signaling
Fabian Steiner, Francesco Da Ros, Metodi Plamenov Yankov +4
The rate flexibility and probabilistic shaping gain of -dimensional signaling is experimentally tested for short-reach, unrepeated transmission. A rate granularity of 0.5 bits/Q…