11 citations · 13 across the 9 of their papers we have counts for
5 papers · 2 filters
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…
Optimizing Bipolar Constellations for High-Rate Transmission in Short-Reach Fiber Links with Direct Detection
Thomas Wiegart, Daniel Plabst, Norbert Hanik +1
Bipolar modulation increases the achievable information rate of communication links with direct-detection receivers. This paper optimizes bipolar transmission with a modulator bias…
Successive Interference Cancellation for Optical Fiber Using Discrete Constellations
Alex Jäger, Gerhard Kramer
Successive interference cancellation is used to detect discrete modulation symbols transmitted over a 1000 km fiber-optic link. A transmitter and receiver are presented that have l…
Information Rates of Successive Interference Cancellation for Optical Fiber
Alex Jäger, Gerhard Kramer
Joint detection and decoding (JDD) achieves rates based on information theory but is too complex to implement for many channels with memory or nonlinearities. Successive interferen…
Neural Network-Based Successive Interference Cancellation for Non-Linear Bandlimited Channels
Daniel Plabst, Tobias Prinz, Francesca Diedolo +4
Reliable communication over bandlimited and non-linear channels usually requires equalization to simplify receiver processing. Equalizers that perform joint detection and decoding…