September 03, 2017

Video processing for virtual cockpit over 5G networks

  • Becirbasic D.
  • Lukac Z.
  • Molnar M.
  • Samardzija D.

Autonomous driving is the next breakthrough in automotive industry. Although the current achievements are very promising we still envision applications in which a certain level of assistance from the remote operator would be required. The goal of the project is to realize a semi-autonomous driving platform prototype with low-latency control/command channel to the operator over the 5G wireless network. The main operational mode of the vehicle is autonomous and in a certain situation the vehicle will transfer control to the remote operator. In order to control the vehicle in the real time, the remote operator should have a live video stream from the vehicle with limited bandwidth and ultra-reliable low-latency communication link in both directions.

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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 ...

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 ...