August 15, 2016

A Shaping Algorithm for Mitigating Inter-Channel Nonlinear Phase-Noise in Nonlinear Fiber Systems

  • Dar R.
  • Feder M.
  • Geller O.
  • Shtaif M.

We propose a practical shaping algorithm for mitigating the effect of nonlinear phase-noise in fiber-optic transmission. The proposed scheme is most beneficial in single-span fiber communications systems of the kind considered for inter-data-center communications. In such systems the correlation time of the nonlinear phase-noise is too short to allow the mitigation of nonlinear phase-noise by means of adaptive phase-recovery or equalization, but long enough for a shaping approach to be effective. We rely on the implementation of the shell mapping method, optimized so as to provide the largest sum of linear and nonlinear shaping gains.

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August 09, 2017

A Cloud Native Approach to 5G Network Slicing

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 ...

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PrivApprox: Privacy-Preserving Stream Analytics

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