Geometry-based statistical modeling of non-stationary MIMO vehicle-to-vehicle channels

A novel geometry-based statistical model (GBSM) for nonstationary multiple-input multiple-output (MIMO) vehicleto-vehicle (V2V) fading channels is presented in this paper. In contrast to the existing geometrical models for nonstationary channels, which are based on a spherical wave propagation (SWP) approach, our proposal builds on the principles of plane wave propagation (PWP). This modeling approach simplifies the mathematical analysis of the relevant statistics of non-stationary channels, such as the space-time-frequency cross-correlation function (STF-CCF). To demonstrate the mathematical tractability of the model, we derive a novel closed-form expression for the STF-CCF. For that purpose, we consider a geometrical one-ring scattering model, and assume that the angle of arrival (AOA) of the received multipath signal follows the von Mises distribution. The obtained results provide valuable theoretical insights into the cross-correlation properties of non-stationary MIMO V2V fading channels. © 2015 ACM.

Channel modeling; MIMO channels; Non-wide-sense stationary uncorrelated scattering (non-WSSUS); Radiowave propagation; Vehicle-to-vehicle (V2V) communications Communication channels (information theory); Direction of arrival; Fading channels; Functions; Geometry; MIMO systems; Radio transmission; Rayleigh fading; Vehicles; Wave propagation; Channel model; Cross-correlation property; Mathematical tractability; MIMO channel; Non-stationary channels; Space-time-frequency cross-correlation function; Von Mises distribution; Wide-sense stationary uncorrelated scatterings; Vehicle to vehicle communications

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