May 08, 2017

Coexistence-aware dynamic channel allocation for 3.5 GHz shared spectrum systems

The paradigm of shared spectrum allows secondary devices to opportunistically access spectrum bands underutilized by primary owners. As the first step, the FCC targeted sharing the 3.5 GHz (3550–3700 MHz) federal spectrum with commercial systems. The proposed rules require a Spectrum Access System to implement a three-tiered spectrum management framework, and one of its key functions is dynamic channel allocation (CA) for secondary devices. In this paper, we introduce coexistence-aware radio-channel-pair conflict graphs to capture pairwise interference, spatial channel availability variations, channel contiguity, and coexistence opportunities. We develop a super-radio formation algorithm to identify valid super-radios, i.e., a set of radios that can coexist on the same channel(s) via WiFi-like carrier-sensing mechanisms. With the proposed generic graph representation, we formulate CA as conflict-free max-demand CA with a min-demand constraint, and develop algorithms based on maximum weighted independent set. Preliminary results demonstrate good performance of proposed algorithms and benefits of coexistence.

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Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

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 ...