Performance Investigation of Spatial Modulation Systems under Non-Stationary Wideband High-Speed Train Channel Models

Yu Fu, Cheng-Xiang Wang*, Ammar Ghazal, El Hadi M Aggoune, Mohammed M. Alwakeel

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

In this paper, the bit error rate (BER) performance of a new multiple-input-multiple-output technique, named spatial modulation (SM), is studied under a novel non-stationary wideband high-speed train (HST) channel model in different scenarios. Time-varying parameters obtained from measurement results are used to configure the channel model to make all results more realistic. A novel statistic property called the stationary interval in terms of the space-time correlation function is proposed to describe the channel model's time-varying behavior. The accurate theoretical BER expression of SM systems is derived under the time-varying wideband HST channel model with the non-ideal channel estimation assumption. The simulation results demonstrate that the BER performance of SM systems shows a time-varying behavior due to the non-stationary property of the employed HST channel model. The system performance can maintain a relative stationary status within the specified stationary interval. It can also be observed that the BER performance of SM systems under the HST channel model is mainly affected by the correlation between sub-channels, inter-symbol-interference, Doppler shift, and channel estimation errors.

Original languageEnglish
Pages (from-to)6163-6174
Number of pages12
JournalIEEE Transactions on Wireless Communications
Volume15
Issue number9
Early online date14 Jun 2016
DOIs
Publication statusPublished - Sept 2016

Keywords

  • bit error rate
  • high-speed train channels
  • non-stationary channel models
  • space-time correlation function
  • Spatial modulation
  • stationary interval

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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