September 01, 2017

Nonlinear signal multiplexing for communication beyond the Kerr nonlinearity limit

  • Aref V.
  • Buelow H.
  • Thai Le S.

Current optical fibre transmission systems rely on modulation, coding and multiplexing techniques which were originally developed for linear communication channels. However, linear transmission techniques are not fully compatible with a transmission medium with nonlinear optical response such as silica. As a consequence, the Kerr nonlinearity imposes a limit on the achievable transmission performance and capacity of conventional optical fibre communication systems. Here we show that transmission performance beyond the Kerr nonlinearity limit can be achieved by encoding all available degrees of freedom and nonlinearly multiplexing signals in the space of the so-called nonlinear spectrum, the evolution of which is linear along the fibre link. This result strongly motivates a paradigm shift and the developments of novel nonlinear coding and signal processing techniques in optical fibre transmission technology

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Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...