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Publishing Language: Chinese

Design of teaching simulation experiments of wireless channel for vehicle networking scenario

Boyu HUA1Haoran NI1Qiuming ZHU1( )Xiaomin CHEN1Junwei BAO2Tongtong ZHOU1
College of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
College of Physics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
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Abstract

Vehicle-to-vehicle communication in the vehicle networking scenario has become one of the key applications of the fifth-generation mobile communication technology. To solve the problem that the knowledge of vehicle-to-vehicle channel in vehicle networking scenario is theoretical and abstract, this paper designs wireless channel teaching simulation experiments based on the MATLAB software platform and FPGA hardware development board, which is convenient for students to intuitively understand the basic principles of vehicle-to-vehicle channel. The proposed experiments adopt the QuaDRiGa channel model framework and the improved channel parameter calculation method, which can reproduce a more realistic Doppler phase and obtain a continuous vehicle-vehicle channel output. By visualizing the transceiver trajectories, scattering cluster distribution and channel statistical characteristics, the simulation experiment can show the channel differences in different motion modes and communication scenarios. Teaching practice shows that students can observe the output of vehicle-vehicle channel statistical characteristics from the Doppler domain and the time-delay domain respectively, which can lay a solid foundation for learning the wireless communication system in the vehicle networking scenario.

CLC number: TN929.5 Document code: A Article ID: 1002-4956(2023)02-0085-07

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Experimental Technology and Management
Pages 85-91

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Cite this article:
HUA B, NI H, ZHU Q, et al. Design of teaching simulation experiments of wireless channel for vehicle networking scenario. Experimental Technology and Management, 2023, 40(2): 85-91. https://doi.org/10.16791/j.cnki.sjg.2023.02.014

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Received: 02 August 2022
Published: 20 February 2023
© 2023 Experimental Technology and Management. All rights reserved.