August 01, 2017

Outdoor-to-Indoor Empirical Path loss Models: Analysis for Pico and Femto Cells in Street Canyons

The applicability of COST231, WINNER+, ITU-R, and 3GPP urban microcell outdoor-to-indoor path loss prediction models is empirically tested in 100 m radius urban femtocells. The analysis is based on more than 500 link measurements. Considerations not specified in the models such as the inclusion of antenna gains and the effect of base station location on the street are evaluated. We find that for our scenarios, discrepancies among the models can reach up to 10 dB at the median. Using the WINNER+ model path loss with free-space antenna gains yields the best match to our measurements.

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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 ...