Utilising SCM – MIMO Channel Model Based on V-BLAST Channel Coding in V2V Communication

Abstract

Abstract. Vehicular ad hoc networks VANETs has recently received significant attention in intelligent transport systems (ITS) research. It provides the driver with information regarding traffic and road conditions which is needed to reduce accidents, which will save many people's lives. In Vehicle-to-vehicle V2V communication the high-speed mobility of the nodes is the challenge, which significantly affects the reliability of communication. In this paper the utilising of SCM-MIMO channel model, (which is based on V-BLAST channel coding) is present to evaluate the performance of the PHY layer in V2V communication. The simulation results observed that the SCM model can overcome the propagation issues such as path loss, multipath fading and shadowing loss. The simulation considered three different environments, high, medium and low disruptions in urban traffic.

Research on Spatial Channel Model for Vehicle-to-Vehicle Communication Channel in Roadside Scattering Environment

“…When the time difference exceeds a critical value 5 ms, the ACF values tend to be around zero. The general form of the ACF can be obtained by taking the inverse Fourier transform of the PSD in (10). Therefore, the simulation results are in very good agreement with the real world.…”

“…Taking advantage of the ray tracing, SCM models the scattering environment based on the stochastic channel models, which can specify the parameters for SCM and develop a procedure for channel modeling [10,11]. In the context of roadside scattering, SCM modeling offers a good compromise since it allows adapting location-specific and reducing computationally expensive models compared with general statistical models [4].…”

Simulation and Analysis of Extended Spatial Channel Model in Vehicle-to-Vehicle Communication Environments

“…In this regard, we extend the work described in [30,31] by modeling nonstationary V2V fading channels. To evaluate the performance of cluster-based V2V models at specific situations that could occur, we categorize all effective clusters into three classes according to their relative location with respect to Tx and Rx: "ahead cluster," "between cluster," and "behind cluster," where each position aims to represent a particular type of physical situation, i.e., vehicles are approaching, passing, and leaving.…”

“…SCM is one of the standardized GBSMs, which focus on the geometry of the single-and double-bounced scatterers [29]. In [30][31][32], the theory of SCM is modified and employed to analytically utilize in V2V communication. Furthermore, in urban street scattering environments, the multipath components (MPCs) usually show the distribution in terms of clusters due to similar angle of arrival (AOA), angle of departure (AOD), and latency [32].…”

A predefined channel coefficients library for Vehicle-to-Vehicle communications

“…The challenges faced by the conventional V2V communications models represented by signal propagation such as multipath/sub-path fading, the dynamic environments. In addition, most of the obtained results that evaluate the channel performance in V2V are based on simulation, these results hardly reflect the reality of the V2V channel performance [5]. However, to more closely reflect reality, high computational power is needed to determine it during the simulation time, therefore there is a need to an open access predefined library for V2V channel to be calculated offline.…”