November 02, 2015

59-dBOhm 68-GHz Variable Gain-Bandwidth Differential Linear TIA in 0.7-um InP DHBT for 400-Gb/s Optical Communication Systems

  • Dupuy J.
  • Jorge F.
  • Konczykowska A.
  • Nodjiadjim V.
  • Riet M.

We report a variable-gain and variable-bandwidth differential linear transimpedance amplifier (TIA-VGA) realised in a 0.7-µm indium phosphide (InP) double heterojunction bipolar transistor (DHBT) technology. The circuits yields 59-dBOhm / 900-Ohm differential transimpedance gain with 20-dB control and 68-GHz 3-dB bandwidth with 30-GHz control. Output-referred 1-dB-compression single-ended amplitude is larger than -4dBm (400mVpp) up to 60 GHz. High quality On-Off-Keying (OOK) eye diagrams are measured at 64 GBd. Consuming less than 475mW, this circuit exhibits the largest bandwidth for a linear TIA-VGA, to our knowledge, along with wide-range gain and bandwidth controls. This makes it a particularly suitable and flexible candidate for high-symbol-rate photoreceivers dedicated to next generation 400-Gb/s and 1-Tb/s optical communication systems.

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 ...