December 22, 2016

Analysis of transmission modes for ultra-reliable communications

  • Duan R.
  • Iraji S.
  • Li Z.
  • R. J??Ntti
  • Shariatmadari H.
  • Uusitalo M.

Cellular systems are gaining more attention as a means of connectivity solutions for machine-type communications (MTC). The future cellular systems need to encounter new features in order to meet the diverse requirements of MTC applications. Ultra-reliable with low-latency communications (URLLC) is one of the considered features, required for mission-critical applications. This paper attempts to provide a better understanding of URLLC in the cellular systems. It considers different transmission modes and presents the required signaling and data transmissions. The optimal resource allocations are formulated for data transmissions. In addition, simplified solutions are given in order to reduce the computation complexity of resource allocations.

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 ...