February 09, 2017

Designing Optimal Heterogeneous Networks

  • Batteram H.
  • Chen X.
  • Louwdyk F.
  • Mukhopadhyay A.
  • Sharma A.
  • Zhao Z.

Wireless operators worldwide are struggling with network congestion following explosion of mobile data traffic over the last several years. In many countries, spectrum addition is not an option. Improvement in spectral efficiency is not keeping up with traffic growth. Thus the only option to add network capacity is to re-use existing spectrum. However, in many large cities, inter-site distances among macro cells are reaching the lower bounds of practical deployment. Thus the industry is exploring alternative network architectures. Heterogeneous Networks (HetNets) are defined as a mix of multi-technology macro and Small Cells. The Small Cells may be using licensed and/or unlicensed spectrum bands. The challenges of deploying Small Cells are three fold: (1)Where to deploy them so that maximum traffic is captured, (2)How to minimize interference with macro cells and (3)How to minimize deployment costs. This paper discusses the methodology for balancing the three constraints in a real-life network.

View Original Article

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 ...