June 30, 2017

Analogue components for high-performing and versatile 5G RF front-ends

  • Bulja S.
  • Doumanis E.
  • Ferling D.

The document contains the Nokia contributions to the deliverable D2.2 of the EU funded project Flex5Gware: This deliverable describes concepts and solutions for RF front-ends and antennas designated for network elements and devices in 5G mobile systems. Key components and features are defined to significantly improve the capability of mobile systems to meet the challenges coming from the expected increase of data volume and connected devices. Key performance parameters are identified to prove the elaborated solutions, aligned to use cases defined in the project. The different building blocks area analysed and the achieved results are presented including the benefit for different use cases.

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 ...