Dynamic Modeling and Analysis of Channel Characterization for RIS-Aided V2V Wireless Communication Systems.

Area of Science:

• Electrical Engineering
• Wireless Communications
• Signal Processing

Background:

• Vehicle-to-vehicle (V2V) communication channels face challenges like rapid signal fluctuations, multi-path fading, and obstructions.
• Reconfigurable intelligent surfaces (RIS) offer a promising solution to enhance wireless communication by intelligently manipulating the propagation environment.

Purpose of the Study:

• To propose a comprehensive three-dimensional (3D) end-to-end channel model for RIS-assisted V2V wireless channels.
• To capture the dynamic time-varying propagation characteristics influenced by mobile transmitter (MT), mobile receiver (MR), and a UAV-mounted RIS.

Main Methods:

• Derivation of exact analytical expressions for the level crossing rate (LCR) of the Rician fading envelope.
• Development of efficient deterministic and stochastic simulation methodologies for the proposed channel model.

Main Results:

• Analysis of the impact of RIS motion direction on the LCR of the V2V channel.
• Investigation of the influence of scatterer distribution on signal fading characteristics.
• Numerical results demonstrating the time-varying nature of the channel due to mobile components.

Conclusions:

• The developed 3D channel model provides a robust framework for analyzing RIS-assisted V2V communication systems.
• Understanding the interplay between RIS motion and scatterer distribution is crucial for optimizing system performance.
• The findings offer theoretical insights for designing more reliable and efficient V2V wireless communication environments.