Research on Vehicle-to-Vehicle MIMO Wireless Channels in Various Tunnels

Jie Zhou, Sujie Wu, Zhikang Lv, Hong Luo, Ting Liu and Genfu Shao
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Jie Zhou: Department of Electronic and Electrical Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
Sujie Wu: Department of Electronic and Electrical Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
Zhikang Lv: Department of Electronic and Electrical Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
Hong Luo: Department of Electronic and Electrical Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
Ting Liu: Department of Electronic and Electrical Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
Genfu Shao: College of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China

Energies, 2022, vol. 15, issue 14, 1-21

Abstract: In this paper, we propose a geometry-based channel model for multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) communications in practical tunnel scenarios. In the proposed channel model, the waves transmitted from the transmitter experience line-of-sight (LoS) and non-LoS (NLoS) before arriving at the receiver. The time-varying parameters of the propagation paths and angles are derived to characterize the channel non-stationarity. Furthermore, we derive the correlation property functions of the proposed V2V channel model; they are space cross-correlation functions (CCFs), temporal auto-correlation functions (ACFs), frequency CCFs, as well as the Doppler power spectrum distributions (PSDs). Numerous simulation results of the propagation characteristic for different physical properties of the tunnel, as well as the different motion properties of the transmitter and receiver, are studied and discussed; they demonstrate that the proposed channel model is suitable for describing the practical V2V tunnel communication scenarios.

Keywords: MIMO channel modeling; space CCFs; temporal ACFs; frequency CCfs; Doppler PSDs (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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