February 21, 2017

MIMO techniques and architectures for millimeter wave mobile communications

  • Baracca P.

Exploiting high carrier frequencies for mobile communications is a fundamental enabler to cope with the always increasing throughput demand. In fact, millimeter wave (mmWave) bands offer huge portions of spectrum that can be used to deliver very high data rates from or toward the mobile users. When compared to current 4G systems working at frequencies below 6 GHz, mmWave base stations and users are expected to be equipped with many more antennas because of the reduced antenna element size. Therefore, multiple-input multiple-output (MIMO) precoding either in the form of beamforming or spatial multiplexing will be used, but which MIMO scheme at these high carrier frequencies represents the best trade off in terms of energy consumption, cost and performance, is still under investigation.

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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 ...