Attocells: High Density Indoor Small Cells

  • Claussen H.
  • Doumanis E.
  • Ho L.
  • Lopez-Perez D.
  • Razavi R.

The demand for wireless data is predicted to grow exponentially in the next few years, driven by the growing popularity of smartphones and tablet devices, and new data intensive services. The use of small cells in a heterogeneous network structure is a promising way of providing the required capacity in cellular networks, offering gains in capacity due to higher spatial reuse, better radio propagation conditions and the ability to target demand hotspots. Examples of these small cells include femtocells and metrocells. In this paper, we examine the concept of deploying indoor small cells in higher densities in order to further leverage spatial reuse gains. The issues and challenges involved in deploying these very small cells with coverage range of only a few meters and a novel antenna configuration providing coverage from the ceiling are discussed. Simulations of a HSDPA deployment are performed indicating that the proposed antenna configuration reduces interference and improves capacity by a factor of 4 compared to using traditional dipole antennas, enabling significant indoor user throughput gains.

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 ...