Fast spatial correlation acquisition for hybrid precoding using sequential compressive sensing

  • Hao J.
  • Liu H.

This paper addresses the critical problem of high overhead in channel information acquisition for hybrid precoding in massive multiple-input multiple-output (MIMO) system. With the employment of large-scale massive antennas in the next generation 5G wireless system, the high overhead in the estimation of channel state information (CSI) for the precoding has been regarded as one of the main challenges that prevent its implementations. On the other hand, other efficient hybrid precoding schemes such as beam sweeping based two stage precoding have limited performance compared with the complete CSI based precoding algorithm. This paper proposes a novel technique to quickly acquire the channel spatial correlation of the large number of antennas, which can be used for hybrid precoding design. This technique can greatly reduce the training overhead while maintain the capability of generating highly user-specific analog beamforming. The simulation results show that the proposed technique can achieve similar performance with the traditional complete CSI based precoding but only require even less reference signal (RS) symbols than the beam sweeping scheme.

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 ...