A novel Kronecker-based stochastic model for massive MIMO channels

Shangbin Wu, Cheng-Xiang Wang, El Hadi M Aggoune, Mohammed M. Alwakeel

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

Abstract

This paper proposes a novel Kronecker-based stochastic model (KBSM) for massive multiple-input multiple-output (MIMO) channels. The proposed KBSM can not only capture antenna correlations but also the evolution of scatterer sets on the array axis. With the consideration of the evolution of scatterer sets, the overall correlation matrices of the transmitter and receiver are presented. In addition, upper and lower bounds of MIMO channel capacities in both the high and low signal-to-noise ratio (SNR) regimes are derived when the numbers of transmit and receive antennas are increasing unboundedly with a constant ratio. Furthermore, the evolution of scatterer sets on the array axis is shown to decrease spatial correlations of MIMO channels.

Original languageEnglish
Title of host publication2015 IEEE/CIC International Conference on Communications in China (ICCC)
PublisherIEEE
ISBN (Electronic)9781509002436
DOIs
Publication statusPublished - 7 Apr 2016
EventIEEE/CIC International Conference on Communications in China 2015 - Shenzhen, China
Duration: 2 Nov 20155 Nov 2015

Conference

ConferenceIEEE/CIC International Conference on Communications in China 2015
CountryChina
CityShenzhen
Period2/11/155/11/15

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Keywords

  • birth-death process
  • channel capacity bounds
  • KBSM
  • low and high SNR regimes
  • Massive MIMO

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Wu, S., Wang, C-X., Aggoune, E. H. M., & Alwakeel, M. M. (2016). A novel Kronecker-based stochastic model for massive MIMO channels. In 2015 IEEE/CIC International Conference on Communications in China (ICCC) [7448642] IEEE. https://doi.org/10.1109/ICCChina.2015.7448642