Jalel Chebil
A New 3D-Regular Shaped Geometry-Based MIMO Channel Model for Vehicle-to-Vehicle Communications in Rectangular Tunnel
Chebil, Jalel; Zormati, Hanene; Mansour, Ali; Ben Mabrouk, Ismail; Bel Hadj Tahar, Jamel
Authors
Hanene Zormati
Ali Mansour
Dr Ismail Ben Mabrouk ismail.benmabrouk@durham.ac.uk
Assistant Professor
Jamel Bel Hadj Tahar
Contributors
N. T. Nguyen
Editor
Y. Manolopoulos
Editor
R. Chbeir
Editor
A. Kozierkiewicz
Editor
B. Trawiński
Editor
Abstract
The intelligent transportation systems have attracted the attention of many researchers and developers in the last few decades in order to make the exploitation of transportation networks be safer, more coordinated, and smarter. Channel modeling for vehicle-to-vehicle (V2V) communication is one of the related research topics that are being investigated in this field. In this paper, a three-dimensional wideband regular shaped geometry based channel model for multiple-input and multiple-output V2V communication channel is proposed for rectangular tunnel environments. A two semi-circular geometry is adopted to describe moving vehicles around transmitter and receiver, and a cuboid model is employed to depict scatterers located on internal surfaces of the tunnel walls. Using this channel model, the channel characteristics including space time correlation function, frequency correlation function and auto-correlation function are determined and simulated numerically. Then, the results are compared with the derived statistics from Avazov et al. and Zhou et al. methods to prove the efficiency of the proposed model.
Citation
Chebil, J., Zormati, H., Mansour, A., Ben Mabrouk, I., & Bel Hadj Tahar, J. (2022). A New 3D-Regular Shaped Geometry-Based MIMO Channel Model for Vehicle-to-Vehicle Communications in Rectangular Tunnel. In N. T. Nguyen, Y. Manolopoulos, R. Chbeir, A. Kozierkiewicz, & B. Trawiński (Eds.), Computational Collective Intelligence. https://doi.org/10.1007/978-3-031-16014-1_63
Online Publication Date | Sep 21, 2022 |
---|---|
Publication Date | 2022 |
Deposit Date | May 26, 2023 |
Series Title | Lecture Notes in Computer Science |
Series Number | 13501 |
Series ISSN | 1611-3349 |
Book Title | Computational Collective Intelligence |
ISBN | 978-3-031-16013-4 |
DOI | https://doi.org/10.1007/978-3-031-16014-1_63 |
Keywords | Channel model; MIMO channel; Rectangular tunnel; Vehicle-to-vehicle communication; |
Public URL | https://durham-repository.worktribe.com/output/1619042 |
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