October 20, 2016

Polymer Microwave Fibers: A blend of RF, copper and optical communication

  • De Wit M.
  • Reynaert P.
  • Standaert A.
  • Tytgat M.
  • Van Thienen N.
  • Volkaerts W.
  • Zhang Y.

This paper discusses some of the recent advances and challenges that lie ahead for Polymer Microwave Fibers (PMF). PMF is a communication concept that combines mm-wave chips, metal couplers and cheap plastic fibers. It has some unique benefits over copper wireline and optical which can give it a preferred solution for low-cost, low-weight robust high-speed data-communication such as automotive and industrial Ethernet, consumer-oriented connectivity, signal distribution and more.

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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 ...

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PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
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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 ...