June 27, 2016

Mobile User Hotspot Detection in LTE Networks by Moving Pseudo Pico Cells

  • Bakker H.
  • Ewe L.
  • Moedinger R.

Existing LTE macro cell networks tend to reach their limits of traffic capacity especially in dense urban areas, due to increasing numbers of mobile users subscribing for LTE based services. The common remedy for such shortage is an increase of capacity by deployment of additional LTE small cells on the serving area of affected macro cells. The highest efficiency in offloading traffic from macro cell to small cells is achieved by placing these small cells in areas of high density of mobile users demanding for high throughput (“mobile user hotspots”). Therefore, the primary challenge for a small cell deployment becomes the detection of such hotspots in a considered LTE macro cell network. We present a novel method allowing for hotspot detection by a probing related method that bases on LTE standard compliant signaling and ensures mobile user privacy protection by design.

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 ...