February 09, 2017

Resource Scheduling for Mixed Traffic Types with Scalable TTI in Dynamic TDD

  • Baracca P.
  • Galati Giordano L.
  • Liao Q.
  • Lopez-Perez D.

The idea behind this paper is to analyse the performance benefits of a user-centric scheduling approach, exploiting the combination of the promising advantages of a flexible duration of the transmission time interval (TTI) available in the fifth generation (5G) and the dynamic Time Division Duplex (TDD) where downlink (DL) and uplink (UL) ratio can be adapted to the traffic load. The formulation of the joint optimization problem and the provided solutions take into consideration the individual requirements of each single user in terms of sustainable latency and desired throughput, thus implementing a real user-centric scheduling approach. Moreover, solutions are provided in a scenario with mixed traffic types, mobile broadband (MBB) and mission critical communications (MCC), showing remarkable performance enhancement of the proposed scheme over traditional dynamic TDD schemes with fixed TTI length in terms of both achievable throughput of the MBB users and guaranteed latency for the MCC users.

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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 ...