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Geometry-Based Statistical MIMO Channel Modeling

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Channel Modeling in 5G Wireless Communication Systems

Part of the book series: Wireless Networks ((WN))

Abstract

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.

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Authors and Affiliations

  1. College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China

    Hao Jiang

  2. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

    Guan Gui

Authors
  1. Hao Jiang
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  2. Guan Gui
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Jiang, H., Gui, G. (2020). Geometry-Based Statistical MIMO Channel Modeling. In: Channel Modeling in 5G Wireless Communication Systems. Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-32869-6_2

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  • DOI: https://doi.org/10.1007/978-3-030-32869-6_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32868-9

  • Online ISBN: 978-3-030-32869-6

  • eBook Packages: EngineeringEngineering (R0)

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