LAPSE:2023.11753
Published Article
LAPSE:2023.11753
A Modified Geometry-Based MIMO Channel Model for Tunnel Scattering Communication Environments
Denghong Tang, Xiaoli Xi, Qianying Fan
February 28, 2023
Abstract
In this study, a modified non-stationary geometry-based scattering model for tunnel vehicle-to-vehicle (V2V) multiple-input multiple-output Ricean fading channels is presented. The proposed channel introduces non-line-of-sight three-dimensional multi-bounced scattering propagation paths under an assumption of equivalent scattering points to depict the tunnel environments, in which the scatterers are randomly distributed on the semi-cylindrical tunnel wall (i.e., cable racks, jetfans, road signs, lighting facilities). Furthermore, the time-varying channel statistics (i.e., the space and frequency correlation functions) resulting from the relative movement between the mobile transmitter and mobile receiver are analyzed. Finally, numerical results show that the space correlations of the proposed model significantly decrease when the multi-bounced scattering rays are taken into account; moreover, when the velocity and the antenna angle γR increase, the correlations decrease therewith, which exhibits good agreement with the existing V2V scattering channel models and measured data in a real tunnel environment, demonstrating the rationality of the underlying channel model.
Keywords
geometry-based models, multi-bounced scattering, time-varying correlation functions, tunnel wireless communications
Suggested Citation
Tang D, Xi X, Fan Q. A Modified Geometry-Based MIMO Channel Model for Tunnel Scattering Communication Environments. (2023). LAPSE:2023.11753
Author Affiliations
Tang D: Institute of Advanced Navigation and Electromagnetics, Xi’an University of Technology, Xi’an 710048, China [ORCID]
Xi X: Institute of Advanced Navigation and Electromagnetics, Xi’an University of Technology, Xi’an 710048, China
Fan Q: Meteorological Bureau of Shanxi Province, Xi’an 710014, China
Journal Name
Energies
Volume
15
Issue
14
First Page
5120
Year
2022
Publication Date
2022-07-14
ISSN
1996-1073
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Original Submission
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PII: en15145120, Publication Type: Journal Article
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https://doi.org/10.3390/en15145120
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