Geometry-Based Statistical MIMO Channel Modeling

  • Hao Jiang
  • Guan Gui
Part of the Wireless Networks book series (WN)


To test an adaptive array algorithm in cellular communications, we developed a geometry-based statistical channel model for radio propagation environments, which provides the statistics of the angle of arrival and time of arrival of the multipath components. This channel model assumes that each multipath component of the propagating signal undergoes only one bounce traveling from the transmitter to the receiver and that scattering objects are located according to Gaussian and exponential spatial distributions, and a new scatterer distribution is proposed as a trade-off between the outdoor and the indoor propagation environments. Using the channel model, we analyze the effects of directional antennas at the base station on the Doppler spectrum of a mobile station due to its motion and the performance of its MIMO systems.


Wireless sensor networks Circular and elliptical scattering models Directional antenna Radio propagation environments Geometry-based channel model 


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Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Hao Jiang
    • 1
  • Guan Gui
    • 2
  1. 1.College of Electronic and Information EngineeringNanjing University of Information Science and TechnologyNanjingChina
  2. 2.College of Telecommunications and Information EngineeringNanjing University of Posts and TelecommunicationsNanjingChina

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