February 09, 2017

Frame Structure Design for Future Millimetre Wave Mobile Radio Access

  • Cassiau N.
  • Li Y.
  • Luo J.
  • Miao H.
  • Pajukoski K.
  • Qi Y.
  • Svensson T.
  • Vihriala J.
  • Zaidi A.

5th generation cellular systems will extend the operation to above 6 GHz to meet extreme data rate requirements. This sets new requirements for the air interface design. In this paper, we propose several frame structure solutions from the mmMAGIC project [1], which address the challenges of using higher carrier frequencies. These solutions include subframe structures for orthogonal frequency division multiplexing (OFDM) and filter-bank multicarrier modulation (FBMC), demodulation reference signal (DMRS) design, backhauling, synchronization signal design and beam measurement reference signal design. Further research is being conducted to refine the overall frame structure solution.

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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 ...