376 citations · 554 across the 12 of their papers we have counts for
12 papers
Soft-Demapping for Short Reach Optical Communication: A Comparison of Deep Neural Networks and Volterra Series
Maximilian Schaedler, Georg Böcherer, Stephan Pachnicke
In optical fiber communication, optical and electrical components introduce nonlinearities, which require effective compensation to attain highest data rates. In particular, in sho…
Neural Network Equalizers and Successive Interference Cancellation for Bandlimited Channels with a Nonlinearity
Daniel Plabst, Tobias Prinz, Francesca Diedolo +4
Neural networks (NNs) inspired by the forward-backward algorithm (FBA) are used as equalizers for bandlimited channels with a memoryless nonlinearity. The NN-equalizers are combine…
Bit-Metric Decoding of Non-Binary LDPC Codes with Probabilistic Amplitude Shaping
Fabian Steiner, Georg Böcherer, Gianluigi Liva
A new approach for combining non-binary low-density parity-check (NB-LDPC) codes with higher-order modulation and probabilistic amplitude shaping (PAS) is presented. Instead of sym…
Efficient Polar Code Construction for Higher-Order Modulation
Georg Böcherer, Tobias Prinz, Peihong Yuan +1
An efficient algorithm for the construction of polar codes for higher-order modulation is presented based on information-theoretic principles. The bit reliabilities after successiv…
On Probabilistic Shaping of Quadrature Amplitude Modulation for the Nonlinear Fiber Channel
Tobias Fehenberger, Alex Alvarado, Georg Böcherer +1
Different aspects of probabilistic shaping for a multi-span optical communication system are studied. First, a numerical analysis of the additive white Gaussian noise (AWGN) channe…
Experimental Demonstration of Capacity Increase and Rate-Adaptation by Probabilistically Shaped 64-QAM
Fred Buchali, Georg Böcherer, Wilfried Idler +3
We implemented a flexible transmission system operating at adjustable data rate and fixed bandwidth, baudrate, constellation and overhead using probabilistic shaping. We demonstrat…