February 06, 2017

Modeling of Mobility-Aware RRC State Transition and Its Application on Energy-Constrained Signaling Reduction

  • Aziz D.
  • Liao Q.

For the coming 5th Generation, mobile devices are becoming more chatty due to the machine-type-communication and always-on applications. On the other hand, the densely deployed heterogeneous networks cause more frequent handovers. From the network's perspective, the increased amount of background traffic and handovers increase the signaling load due to frequent state transitions between idle and connected states. From the user's perspective, staying in connected state in long period of time results in higher energy consumption. To analyze the tradeoff between the connected and idle states, we develop a closed-form mathematical model of state transition process, based on the framework of alternating renewal process. The traffic-based and mobility-aware user-specific model enables various types of optimization with respective to reduction of signaling overhead and energy consumption. In this paper we apply the developed model to achieve minimum amount of signaling load by optimizing the inactivity timer, subjected to the energy consumption constraint.

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August 09, 2017

A Cloud Native Approach to 5G Network Slicing

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  • Miller R.
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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.
  • 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.
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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 ...