5G ADVANCED RECEIVER

  • Harman D.
  • Otterbach J.
  • Tavares M.
  • Zivkovic M.

5G ADVANCED RECEIVER; TURBO-SIC FOR UPLINK BOOSTING Today's 4G deployments suffer from overloaded uplink channels in MegaCity applications. By assigning the same time-frequency resources to several users simultaneously higher uplink capacity can be provided for wireless networks. To decode this superposed signal of each user, advanced signal processing at the base-station receiver can solve this issue. One promising algorithm for multi-user uplink is Turbo- Successive Interference Cancelation (Turbo-SIC) applicable to SU/MU-MIMO and CoMP in cellular networks. Turbo-SIC is also a promising key enabler for new upcoming 5G applications such as massive IoT, where massive number of devices has to be supported.

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 ...