A Dynamic Wideband Directional Channel Model for Vehicle-to-Vehicle Communications


Vehicle-to-vehicle (V2V) communications have received a ton of attention thanks to their various applications in traffic safety. The design, testing, and improvement of the V2V system hinge critically on the understanding of the propagation channels. An important feature of the V2V channel is the time variance. To statistically model the time-variant V2V channels, a dynamic wideband directional channel model is proposed during this paper, primarily based on measurements conducted at 5.3 GHz in suburban, urban, and underground parking environments. The model incorporates both angular and delay domain properties and therefore the dynamic evolution of multipath elements (MPCs). The correlation matrix distance is used to determine the size of native wide-sense stationary (WSS) region. At intervals every WSS time window, MPCs are extracted using the Bartlett beamformer. A multipath distance-based tracking algorithm is used to identify the “birth” and “death” of such paths over totally different stationarity regions, and therefore the lifetime of MPC is modeled with a truncated Gaussian distribution. Distributions for the number of multipaths and their positions are statistically modeled. Within each path lifetime, the initial power is found to rely on the excess delay, and a linear polynomial function is used to model the variations within the lifetime. In addition, a Nakagami distribution is urged to explain the fading behavior. Finally, the model implementation is validated by comparison of second-order statistics between measurements and simulations.

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