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Showing papers by "Norbert Hanik published in 2019"


Journal ArticleDOI
TL;DR: A digital-resolution-enhancer (DRE) algorithm is discussed, conjoined with high-end DPC methods, and results demonstrate that the DRE reduces the effect of DAC quantization noise power by more than 8 dB for the considered cases of 400G with 64QAM.
Abstract: Digital pre-compensation (DPC) is an indispensable block of state-of-the-art optical transceivers, and a key enabler for high-order modulation formats (HOMFs) transmission. A crucial component, which enables the transmission of the precompensated HOMFs, is the digital-to-analog-converter (DAC). However, as data and symbol rates grow, the implementation of such devices becomes highly challenging in terms of performance, power consumption, and costs. In this paper, a digital-resolution-enhancer (DRE) algorithm is discussed, conjoined with high-end DPC methods. Simulation results demonstrate that the DRE reduces the effect of DAC quantization noise power by more than 8 dB for the considered cases of 400G with 64QAM. The proposed scheme is experimentally verified by transmitting a 4-bit DP-64QAM 400 Gbit/s signal in a WDM scenario over 95 km of single mode fiber.

35 citations


Proceedings ArticleDOI
01 Jul 2019
TL;DR: The trajectories of discrete eigenvalues of solitonic pulses are studied numerically for different amplification schemes and detailed simulation results of the critical propagation sections are given and discussed in regards to their influence on pulse stability.
Abstract: The trajectories of discrete eigenvalues of solitonic pulses are studied numerically for different amplification schemes. For the case of eigenvalue ‘collision‘ and ‘absorption‘ into the real axis detailed simulation results of the critical propagation sections are given and discussed in regards to their influence on pulse stability.

1 citations


Proceedings ArticleDOI
01 Jan 2019
TL;DR: Simulations over a 1800 km Raman amplified fiber link demonstrate the effectiveness of expectation maximization clustering of received nonlinear spectral data from solitonic pulses to reduce bit error rates.
Abstract: Expectation maximization clustering of received nonlinear spectral data from solitonic pulses is used to reduce bit error rates. Simulations over a 1800 km Raman amplified fiber link demonstrate the effectiveness of the method.