March 20, 2017

A New Design and Multiport Performance Evaluation for 3D Massive MIMO System

  • Jin Y.
  • Li N.
  • Li X.
  • Zhang H.
  • Zhong C.

This paper reports a novel design and system performance evaluation of 3D MIMO under LTE-A framework based on 3GPP FD MIMO channel model.We exhibit a creative design of centralized configuration for data processing convenience on BS side considering massive MIMO antenna structure, we also present analysis of three main risks on 3D massive MIMO demonstrator design, including time synchronization, channel estimation error, and precoding algorithm complexity. Simulation observations from results show: 1). Moderate estimation error will not greatly deteriorate system performance; 2). Performance gains from 3D vertical distributed ports over 2D increases with more receiving antennas; 3). Gains provided by horizontal ports over vertical ports decreases as the vertical ports number increases. Moreover, vertical ports provide only a little less gain than horizontal ports with same number of total antenna ports.

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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 ...