38 citations · 38 across the 8 of their papers we have counts for
7 papers · 1 filter
Capacity and Achievable Rates of Fading Few-mode MIMO IM/DD Optical Fiber Channels
Metodi P. Yankov, Francesco Da Ros, Søren Forchhammer +1
The optical fiber multiple-input multiple-output (MIMO) channel with intensity modulation and direct detection (IM/DD) per spatial path is treated. The spatial dimensions represent…
Probabilistically Shaped 4-PAM for Short-Reach IM/DD Links with a Peak Power Constraint
Thomas Wiegart, Francesco Da Ros, Metodi Plamenov Yankov +3
Probabilistic shaping for intensity modulation and direct detection (IM/DD) links is discussed and a peak power constraint determined by the limited modulation extinction ratio (ER…
End-to-end Learning for GMI Optimized Geometric Constellation Shape
Rasmus T. Jones, Metodi P. Yankov, Darko Zibar
Autoencoder-based geometric shaping is proposed that includes optimizing bit mappings. Up to 0.2 bits/QAM symbol gain in GMI is achieved for a variety of data rates and in the pres…
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…