Identification of the PoC scenarios

  • Koppenborg J.

The proof-of-concepts (PoC) in FANTASTIC-5G target is to implement key technical components developed within the project. The demonstration aims at validating the feasibility and the superiority of the different components of the foreseen 5G air interface. For this activity, several platforms are being developed in FANTASTIC-5G. The planned demonstrations are categorized into three main categories: post-orthogonal frequency division multiplexing (OFDM) waveform prototyping, coexistence aspects evaluation and broadcast and multicast software defined radio-based PoC. This deliverable aims at identifying PoC scenarios envisaged in the project. As a consequence, it will provide the necessary information on the approved scenarios and selected techniques. Additionally, it provides a description of the available/to be developed software and hardware platforms.

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 ...