August 11, 2016

Ten-Channel Discrete Multi-Tone Modulation Using Silicon Microring Modulator Array

  • Chen Y.
  • Dong P.
  • Gui C.
  • Kim K.
  • Lee S.

The emerging applications for inter- and intra- data center communications demand low-cost and small-from-factor optical transceivers with 100G/400G capacity. Various techniques, such as wavelength-division multiplexing (WDM), multi-level pulse-amplitude modulation (PAM), and discrete multi-tone (DMT), are heavily investigated in this field. Among these techniques, DMT can offer 100-G capacity with 10-20G optical devices using direct detection, which provides a very promising low-cost 100G/400G solution. In this paper, we report ten-channel discrete multi-tone generation using silicon microring modulator array, which simultaneously function as de-multiplexers, modulators, and multiplexers. An aggregated data rate of 0.88 Tb/s is achieved at a bit error ratio of 3.8x10-3.

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 ...