May 11, 2017

Impact of Humans on the Design and Performance of Millimeter Wave Cellular Networks in Stadiums

  • Calin D.
  • Jeffrey G. Andrews
  • Kaya A.
  • Mandar N. Kulkarni

We use 3-D ray tracing to evaluate the performance of millimeter wave (mmWave) cellular in a realistic model of MetLife stadium, NJ, USA. We model thousands of human blockages using the dielectric properties at 28GHz. Using this setup, we contrast the coverage and capacity performance with and without human blockages. Our study highlights that incorporating human models is essential for performance evaluation and also for deployment choice. We study the scaling in achievable data rates of three dense deployments in the stadium, and conclude that meeting the minimum 100 Mbps 5G requirement in stadiums can be challenging with a unicast mode of transmission. Broadcasting popular content in conjunction with a multiplexed unicast mode can provide minimum 100 Mbps rate for the broadcasted content.

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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 ...