January 01, 2017

How Much Spectrum is Too Much in Millimeter Wave Wireless Access

  • Du J.
  • Valenzuela R.

Great increase in wireless access rates might be attainable using the large amount of spectrum available in the millimeter wave (mmWave) band.However, higher propagation losses inherent in these frequencies must be addressed, especially at ranges beyond 100 meters and in non-line-of-sight settings. Otherwise, using wider channels in noise limited settings may be ineffective or even counterproductive when accounting for channel estimation penalty. Therefore, the Equivalent Isotropic Radiated Power (EIRP) is a key parameter. We find that, with 11 dBi antenna gain at the receiver, at 52 dBm EIRP the maximum beneficial bandwidth at 28/60 GHz is less than 1 GHz at a distance beyond 210/120 meters (with maximum throughput about 200 Mbps) and less than 100 MHz beyond 400/230 meters (with maximum throughput about 20 Mbps). At a EIRP of 85 dBm, corresponding to the FCC limit of 75 dBm per 100 MHz, 1 Gbps rate can be delivered using 1 GHz bandwidth up to 860/500 meters.

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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 ...