March 13, 2017

Proposals for Cost-Effectively Upgrading Passive Optical Networks to a 25G Line Rate

  • Houtsma V.
  • Van Veen D.

Bandwidth demands keep increasing, inspiring researchers to continue to find cost-effective ways to increase the line rate in PON systems. In this paper we present and discuss proposals to upgrade 10G PONs with a 25 Gbps line rate at low cost and with low power consumption. Our proposals are based on binary NRZ and Duobinary based transmission which gained a lot of attention as solutions for upgrading PON to a 25 Gbps line rate in recent research papers as well as the standardization body IEEE. IEEE started standardizing 100G-EPON beginning of 2016. We report the latest results of our study of duobinary detection showing that it is a cost-effective technical feasible solution for 25G PON. Also topics like forward error correction and power consumption are investigated in the context of 25G PON.

View Original Article

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 ...