Adaptive Energy Threshold for Improved Co-existence Between Licensed Assisted Access and Wi-Fi

Coexistence with wireless-fidelity (Wi-Fi) is a key aspect for licensed assisted access (LAA) to succeed. The main coexistence mechanism between both technologies is listen before talk (LBT), whereby radio frequency energy is sensed over a short period of time and compared to an energy detection (ED) threshold. If the sensed energy is below the ED threshold, a node is then allowed to transmit. Otherwise, it backs off. Given the default Wi-Fi and LAA ED thresholds, and the lack of virtual carrier sensing at the LAA side, coexistence problems may raise at below such ED thresholds. In order to address this issue, we propose a practical and easy implementable adaptive ED threshold algorithm, which can dynamically tune the ED threshold at the Wi-Fi and LAA nodes. Simulations results in an enterprise scenario show that the Wi-Fi performance can be significantly enhanced, while moderately impacting LAA performance.

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 ...