Low rank approximation based hybrid precoding schemes for multi-carrier single-user massive MIMO systems

Jianshu Zhang, Ami Wiesel, Martin Haardt

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

31 Scopus citations

Abstract

In this paper we study the hybrid precoding design problem for a frequency selective massive MIMO channel, e.g., the millimeter wave (mmWave) massive MIMO channel. In contrast to a traditional MIMO system, a hybrid analog-digital MIMO scheme is preferred for massive MIMO systems due to the high cost and power consumption of the radio frequency (RF) chains. The RF analog precoding is implemented using only phase shift networks, which impose constant modulus constraints on the RF precoding and decoding matrices. Moreover, there is just one common equivalent RF beamforming matrix for all subcarriers. The resulting sum rate maximization problem is non-convex and, therefore we resort to suboptimal solutions. Two methods are introduced, namely, the higher order SVD (HOSVD) based design and the sequential low rank unimodular approximation based design. The former approach exploits the truncated HOSVD of the equivalent channel while the latter approach approximates optimal unconstrained solutions by low rank unimodular approximations. Simulation results show that when the mmWave channel model is used, both approaches outperform the extension of the state of the art compressed sensing based algorithm to the multi-carrier case.

Original languageAmerican English
Title of host publication2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3281-3285
Number of pages5
ISBN (Electronic)9781479999880
DOIs
StatePublished - 18 May 2016
Event41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, China
Duration: 20 Mar 201625 Mar 2016

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2016-May
ISSN (Print)1520-6149

Conference

Conference41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Country/TerritoryChina
CityShanghai
Period20/03/1625/03/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Massive MIMO
  • convex optimization
  • higher order SVD
  • hybrid precoding
  • mmWave

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