January 01, 2017

Performance Evaluation of Self Backhauled Small Cell Networks

  • Andrews D.
  • Ghosh A.
  • Pupala R.
  • Vasudevan S.

We compare the performance of HetNets with Self Backhauled Small Cells (SBSCs) relative to those with Wired Backhaul based Small Cells (WBSCs). The comparisons are made for a variety of SBSC based HetNets (1) when the HetNets employ Omni antennas at the SBSCs and Uniform PF at the Macro, (ii) with Directional antennas at the SBSCs and Uniform PF at the Macro, (iii) with Directional antennas at the SBSCs and Weighted PF at the Macro, and (iv) with Directional antennas at the SBSCs and QoS-aware PF at the Macro. The study catalogs our learning experiences with SBSC Het-Nets, leading the reader through the sequence of enhancements made to improve the performance of SBSC HetNets relative to WBSC HetNets.

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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 ...