Performance Analysis of Variant MIMO Systems Over 3-D Vehicular to Vehicular Channel

Abstract

This article analyzes the performance of variant multiple-input multiple-output (MIMO) systems over three-dimensional (3D) vehicular to vehicular (V2V) wireless communication channel. In particular, quadrature spatial modulation (QSM), spatial multiplexing (SMX) and spatial modulation (SM) MIMO techniques are considered. A unified framework to analyze the average bit error rate (BER) for all considered MIMO techniques is developed while considering the 3D geometry dependent stochastic V2V channel model and substantiated through Monte Carlo simulation results. Reported results corroborate the accuracy of the derived formulas and the impact of different system and channel parameters is studied. Specifically, the encroachment of Doppler effect, channel estimation errors, 3D features and vehicle traffic density (VTD) on the BER performance of all systems are examined and discussed. It is revealed that QSM system achieves substantial gains as compared to its counterpart SM and SMX schemes. Gains of up to 2-4 dB in signal-to-noise-ratio are reported for different scenarios. INDEX TERMS Spatial modulation (SM), quadrature spatial modulation (QSM), spatial multiplexing (SMX), multiple-input multiple-output (MIMO), vehicle-to-vehicle (V2V), vehicle traffic density (VTD), three-dimensional channel model (3D-channel), performance analysis.

Channel modelling for vehicle‐to‐vehicle MIMO communications in geometrical rectangular tunnel scenarios

“…Although a 2D model is helpful for simulating certain environments, it is well‐known that the low antenna heights of V2V communicating nodes cause signal reflections from nearby buildings and other scatterers, which are elevated above the communicating antennas. Therefore, the 3D channel model proposed in previous research is more accurate than the above 2D channel model [14]. In light of this, Alsehaili et al .…”