Channel modeling and characterization for indoor and vehicular millimeter wave (MMW) communications

The demand for ultra-high-speed wireless connectivity is ever-increasing, which poses unique challenges for the next-generation wireless communication system design. This has prompted the exploration of higher frequency bands including millimeter wave millimeter Wave (MMW) and visible light bands in addition to the conventional sub-6 GHz band. In this thesis, we provide a detailed comparison of these frequency bands' propagation chan- nels in identical indoor settings. We adopt ray tracing techniques for site-specific channel modeling, which enables the consideration of the three-dimensional models of the indoor environment and objects inside. Using ray tracing, we model site-specific channels in three-dimensional indoor environments, considering various frequencies (2.4 GHz to 100 GHz) and transmitter types (Radio Frequency (RF) antennas and indoor lighting for Visible Light Communication (VLC)). Our analysis includes Channel Impulse Response Channel Impulse Response (CIR) data, channel path losses, and Cumulative Distribution Function Cumulative Distribution Function (CDF) expressions for received power levels across all considered frequencies. Our results highlight that VLC channels demonstrate lower path loss than MMW but more than the 2.4 GHz band, while also revealing the impact of antenna types on MMW path loss, especially over shorter transmission distances. Vehicle to Vehicle (V2V) communication is an underlying key technology to realize future intelligent transportation systems. Both MMW communication and VLC are strong candidates to address V2V connectivity. Most of the earlier literature focuses on individual technology. In an effort to better highlight the differences and relative advantages of these two competing technologies, we provide a comprehensive one-to-one comparison between vehicular VLC and MMW channels in this thesis. For this purpose, we utilize ray tracing iv simulations which enable the consideration of three-dimensional modeling of the propa- gation environment and allow the study of various system parameters and road conditions in both Line of Sight (LOS) and Non Line of Sight (NLOS) conditions.n the same set- tings, we showcase the signal strengths for both systems and study their channel features for communication between vehicles in the same or different lanes, assessing the effects of varying densities of neighboring vehicles and instances of partial or complete blockage.