April 12, 2017

Multidimensional Mutual Information Characterization of Nonlinear Interactions over Time and Polarizations

  • Eriksson T.
  • Fehenberger T.
  • Idler W.

The achievable information rate is experimentally estimated in coherent fiber optical communication for different four dimensional descriptions of the channel to the demapper. Polarization-multiplexed 16-ary quadrature amplitude modulation with channel symbolrates of either 10 or 20 Gbaud are investigated in experiments over both erbium doped fiber amplifier based links and Raman aplified links. We show that doing demapping over two consecutive time slots rather than two orthogonal polarization states can be beneficial, although both cases show gain over conventional two-dimensional demappers. A Index Terms--IEEE, IEEEtran, journal, LTEX, paper, template.

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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 ...