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Realistic channel modeling for vehicle to vehicle communication using regular shape geometric based stochastic model approach
Dissertation   Open access

Realistic channel modeling for vehicle to vehicle communication using regular shape geometric based stochastic model approach

Sylvester Terdo Akiishi
Doctor of Philosophy (PHD), University of Johannesburg
2025
Handle:
https://hdl.handle.net/10210/520736

Abstract

Developing effective wireless Vehicle-to-Vehicle (V2V) communications is crucial for mobile relay-based cellular networks, vehicular ad hoc networks, intelligent transportation systems, and autonomous driving. V2V communication channels differ significantly from conventional fixed-to-mobile (F2M) cellular systems, necessitating a thorough understanding of V2V propagation channels. Operating at 5.9 GHz for safetyrelated applications and 2.4-5.2 GHz for non-safety applications, V2V systems feature both transmitter and receiver in motion, leading to unique channel dynamics influenced by changes in distance, direction of motion, and the surrounding environment, including buildings, bridges, and vehicle traffic density (VTD). Accurately characterizing the wireless propagation channel is crucial for optimizing V2V communication performance, which faces challenges such as high vehicle mobility, scattering objects, and dynamic environments. This PhD project centers on modeling and simulating wireless multiple-input multiple-output (MIMO) narrowband channels for V2V communication systems. The research employs regular shape geometry-based stochastic modeling (RS-GBSM) for its theoretical and mathematical tractability. A twodimensional (2D) model is preferred over a three-dimensional model due to its speed, simplicity, and computational efficiency. This thesis employs elliptical and two-ring models to investigate the theoretical performance of MIMO channel simulators. The analysis considers the Rician 𝐾 −factor at zero and higher values, where 𝐾 −factor is defined as the ratio of the power in the direct line-of-sight (LoS) path to the scattered multipath components. In isotropic environments, the scattered components are uniformly distributed, typically resulting in lower 𝐾 −factor. Conversely, in non-isotropic environment, the scattered components arrive from specific directions, and the presence of a strong dominant path leads to a higher 𝐾 −factor. The performance is evaluated based on existing parameterization methods [extended method of exact Doppler spread (EMED), modified method of equal area (MMEA), Lp norm method (LPNM), and newly proposed methods [modified extended method of exact Doppler spread (MEMEDS), new modified method of equal...
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