January 01, 2016

Emerging mobile business ecosystem driven by elastic sharing

  • Andrews M.
  • Barth U.
  • Bradonjic M.
  • Gruber M.
  • Laffisse L.
  • Lagrange P.
  • Malanchini I.
  • Nicolaou M.
  • Saniee I.
  • Wajda W.

Rationale: Due to a rising cost pressure on mobile operators, mobile network sharing is already a reality today Approach: A formal game-theoretic analysis justifies cooperative competition in mobile networks and confirms that the current industrial trend towards mobile network sharing is rational. Driver/enabler: The emerging ecosystem breaks down the vertically integrated market, as we know it today, into distinct roles, namely provisioning of physical resources, of virtual networks, and of over-the-top services, respectively, where virtual networks can be elastically compiled from multiple resource providers at a marketplace.

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 ...