January 01, 2017

Multi-Layer Optimisation of Heterogenous Networks using Grammatical Genetic Programming

  • Claussen H.
  • David Lynch
  • Kucera S.
  • Michael Fenton
  • Michael O’Neill

Heterogeneous Cellular Networks are comprised of Macro Cells and Small Cells in which all cells occupy the same bandwidth. Provision has been made under the 3GPP-LTE framework for enhanced Inter-Cell Interference Coordination (eICIC) between cell tiers. Expanding on previous works, this paper instruments grammatical Genetic Programming to evolve control heuristics for Heterogeneous Networks. Three aspects of the enhanced Inter-Cell Interference Coordination framework are addressed including setting Small Cell powers and selection biases, Macro Cell duty cycles, and scheduling at Small Cells. The evolved heuristics yield minimum downlink rates four times higher than a baseline method, and 50% in excess of a state-of-the-art benchmark. Furthermore, a greater number of User Equipments receive transmissions under the proposed scheme than in either the baseline or benchmark cases.

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August 09, 2017

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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.
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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 ...

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  • Chen R.
  • Christof Fetzer
  • Le D.
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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 ...