Measurement and empirical modeling of massive MIMO channel matrix in real indoor environment

Yu Yu, Peng Fei Cui, Jun She, Yang Liu, Xi Yang, Wen Jun Lu, Shi Jin, Hong Bo Zhu

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

18 Scopus citations

Abstract

A novel empirical, measurement-based massive MIMO channel matrix model under real indoor environment at 4.1 GHz is proposed. In this model, the channel matrix can be described as the sum of a fixed and a random matrices, furthermore, the random matrix can be decomposed into the product of four parts: the eigenvectors of the transmitting and receiving side correlation matrices, a coupling matrix, whose amplitude and phase are lognormal and uniform distributions, and a complex Gaussian random matrix. By comparing the capacity and singular value spread, the proposed model is validated to be more accurate than the conventional Kronecker and Weichselberger models. The proposed model is promising for the system design and implementation in future 5G systems.

Original languageEnglish
Title of host publication2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509028603
DOIs
StatePublished - 21 Nov 2016
Externally publishedYes
Event8th International Conference on Wireless Communications and Signal Processing, WCSP 2016 - Yangzhou, China
Duration: 13 Oct 201615 Oct 2016

Publication series

Name2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016

Conference

Conference8th International Conference on Wireless Communications and Signal Processing, WCSP 2016
Country/TerritoryChina
CityYangzhou
Period13/10/1615/10/16

Keywords

  • 5G
  • Singular value spread
  • capacity
  • channel matrix
  • massive MIMO

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