Design and Analysis of a New Massive MIMO Cell-Edge-Aware Precoding Scheme

  • Andrews J.
  • Geraci G.
  • Quek T.
  • Yang H.

In this paper, we propose cell-edge-aware (CEA) zero forcing (ZF) precoding for downlink massive MIMO cellular networks. The CEA-ZF precoder exploits the excess spatial degrees of freedom available at massive MIMO base stations (BSs) to suppress inter-cell interference at the most vulnerable neighboring users. We demonstrate that the CEA-ZF precoder outperforms a conventional cell-edge-unaware (CEU) ZF precoder in terms of (i) downlink data rate per cell, (ii) coverage probability, and (iii) 95%-likely rate. In a network with random topology, when both perfect channel state information and a large number of antennas N are available at the BSs, we find that the outage probability with CEA-ZF and CEU-ZF decay as 1/N^2 and 1/N, respectively. Our analysis and simulations also confirm the necessity to control the amount of pilot contamination received during the channel estimation phase.

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 ...