Multi-polarized multi-user Massive MIMO: Precoder design and performance analysis

Jaehyun Park, Bruno Clerckx

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Space limitation and multi-antenna channel acquisition prevent Massive multiple-input multiple-output (MIMO) from being easily deployed. The use of multi-polarized antennas can be one solution to alleviate the first obstacle. Furthermore, the dual structured precoding, in which a preprocessing based on the spatial correlation and a subsequent linear precoding based on the short-term channel state information at the transmitter (CSIT) are concatenated, can reduce the feedback overhead efficiently. To reduce the feedback overhead further, we propose a dual structured multi-user linear precoding, in which the subgrouping method based on co-polarization is additionally applied to the spatially grouped mobile stations (MSs) in the preprocessing stage. By investigating the behavior of the asymptotic performance as a function of the cross-polar discrimination (XPD) parameter, we also propose a new dual structured precoding, in which the XPD, spatial correlation, and CSIT quality are jointly utilized in the precoding/feedback for the multi-polarized multi-user massive MIMO system.

Original languageEnglish
Title of host publication2014 Proceedings of the 22nd European Signal Processing Conference, EUSIPCO 2014
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages326-330
Number of pages5
ISBN (Electronic)9780992862619
Publication statusPublished - 2014 Nov 10
Event22nd European Signal Processing Conference, EUSIPCO 2014 - Lisbon, Portugal
Duration: 2014 Sept 12014 Sept 5

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Other

Other22nd European Signal Processing Conference, EUSIPCO 2014
Country/TerritoryPortugal
CityLisbon
Period14/9/114/9/5

Keywords

  • Dual structured precoding with long-term/short-term CSIT
  • Multi-polarized Massive MIMO

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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