December 22, 2016

Self-optimizing adaptive transmission mode selection for LTE-WLAN aggregation

  • Balan I.
  • Laselva D.
  • Perez E.
  • Wegmann B.

As licensed spectrum is scarce and users have ever increasing throughput and data volume requirements, mobile network operators (MNOs) are looking for innovative ways for using the unlicensed spectrum. One such solution is LTE-WLAN aggregation (LWA) where a LTE radio bearer can be served by making use of both LTE and WLAN resources in a flexible manner. This paper proposes a self-optimizing algorithm that tunes the aggregation mode and controls how data is split between LTE and WLAN. Results show that the proposed algorithm is able to derive the optimal control parameter settings per cell under different load conditions. As a result, improved average and 5th percentile UE throughput values are observed along with a more even throughput distribution among LWA and non-LWA users. The performance of individual cells in the scenario is also leveled out thanks to the SON algorithm.

View Original Article

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 ...