Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2021Probabilistic Shaping for the Optical Phase Conjugation Channel9citations

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Chart of shared publication
Yankov, Metodi Plamenov
1 / 1 shared
Kaminski, Pawel Marcin
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Forchhammer, Søren
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Ros, Francesco Da
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Oxenløwe, Leif Katsuo
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Hansen, Henrik Enggaard
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Galili, Michael
1 / 4 shared
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2021

Co-Authors (by relevance)

  • Yankov, Metodi Plamenov
  • Kaminski, Pawel Marcin
  • Forchhammer, Søren
  • Ros, Francesco Da
  • Oxenløwe, Leif Katsuo
  • Hansen, Henrik Enggaard
  • Galili, Michael
OrganizationsLocationPeople

article

Probabilistic Shaping for the Optical Phase Conjugation Channel

  • Yankov, Metodi Plamenov
  • Kaminski, Pawel Marcin
  • Forchhammer, Søren
  • Silva, Edson Porto Da
  • Ros, Francesco Da
  • Oxenløwe, Leif Katsuo
  • Hansen, Henrik Enggaard
  • Galili, Michael
Abstract

Probabilistic constellation shaping is studied and developed for optical phase conjugation (OPC)-based nonlinearity compensation of Kerr nonlinearities in optical fiber links. The mid-link OPC scenario is considered for dispersion compensated systems. It is demonstrated in simulations and experimentally that transmission strategies optimal for classical additive white Gaussian noise (AWGN) channels can be sub-optimal for these systems without nonlinearity compensation. On the contrary, when nonlinearity compensation is applied with mid-link OPC, the channel noise is demonstrated to be Gaussian and AWGNlike transmission strategies thus remain effective. A channelagnostic probability mass function (PMF) optimization algorithm is proposed for the input constellation in order to further improve the shaping gains in both scenarios. Operating arbitrary PMFs on arbitrary channels is enabled by a channel-agnostic digital signal processing (DSP) chain. After ≈2000 km of transmission, mid-link OPC is demonstrated to provide ≈1 dB of gain in effective SNR, which translates to ≈0.4 bits/QAM symbol of gain in achievable information rate. The gain is then increased by an extra ≈0.2 bits/QAM symbol by applying probabilistic shaping.

Topics
  • impedance spectroscopy
  • dispersion
  • phase
  • simulation