Chapter 9 (METIS Book) Multi-node Coordination

  • Aziz D.
  • Baracca P.
  • Fantini Roberto
  • Thiele L.
  • Zirwas W.

Performance in a wireless network strongly depends on user position in the cell, with users in the cell border typically experiencing much lower throughputs than those nearer to the transmitting base station. This is mainly due to the presence of inter cell interference, generated by concurrent transmissions in other cells. Inter cell interference is particularly relevant for modern wide area wireless communication systems like UMTS or LTE, where the frequency reuse factor is one or very close to one. In such a scenario the system is primarily interference limited, and performance cannot be improved by simply increasing the transmitted power, since not only the useful signal strength would be improved, but also the signal of interfering cells would be boosted. As a consequence, alternative techniques are necessary that target specifically inter cell interference and allow a more even user experience throughout the whole network, reducing the gap between cell edge and average throughput.

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 ...