A Novel 3D Regular-Shaped Geometry-Based Stochastic Model for Non-Isotropic MIMO Mobile-to-Mobile Channels

Xiang Cheng, Cheng-Xiang Wang, Yi Yuan, David Laurenson, Xiaohu Ge

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

Abstract / Description of output

This paper proposes a novel three-dimensional (3D) regular-shaped geometry-based stochastic model (RS-GBSM) for non-isotropic multiple-input multiple-output (MIMO) mobile-to-mobile (M2M) Ricean fading channels. The proposed model, combining a two-sphere model and an elliptic-cylinder model, is the first 3D RS-GBSM that has the ability to investigate the impact of the vehicular traffic density (VTD) on channel statistics and jointly consider the azimuth angle and elevation angle. From the proposed model, the space-time (ST) correlation function (CF) and the corresponding space-Doppler (SD) power spectral density (PSD) are derived. Finally, some numerical results and interesting observations are given.
Original languageUndefined/Unknown
Title of host publicationVehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd
Pages1 -5
DOIs
Publication statusPublished - 1 Sept 2010

Keywords / Materials (for Non-textual outputs)

  • 3D regular-shaped geometry-based stochastic model
  • Ricean fading channels
  • azimuth angle
  • channel statistics
  • elevation angle
  • elliptic-cylinder model
  • jointly consider
  • nonisotropic MIMO mobile-to-mobile channels
  • nonisotropic multiple-input multiple-output mobile-to-mobile channels
  • space-Doppler power spectral density
  • space-time correlation function
  • two-sphere model
  • vehicular traffic density
  • MIMO communication
  • Rician channels
  • correlation methods
  • mobile communication
  • stochastic processes
  • wireless channels

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