June 29, 2017

Beam Based Stochastic Model for Evaluating Coverage Probability in 5G Millimeter Wave Systems

Communications using frequency bands in the millimeter waves range will play a key role in future generations of mobile networks. It will provide high data rates by exploiting a wide range of unlicensed spectrum available at very high carrier frequencies. The prevailing challenge at high frequencies is to mitigate the problems of large path loss and link blockage. Highly directional beams are expected to overcome this challenge. Therefore, in this paper we derive the analytical computation of the coverage probability for a given beam. We develop a beam based stochastic model of the coverage probability, which takes into account both line-of-sight and first-order non-line-of-sight reflections. We exploit stochastic geometry to model the scattering environment and we provide a closed form expression of the coverage probability for any given beam. The results are validated numerically in order to assess the accuracy of the model.

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Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

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 ...