Answers are grounded in this paper and cite their sources.
Connected vehicles are highly expected to be proactive, cooperative, well-informed, and coordinated. Therefore, high-reliable connected vehicle channels are required. It is widely accepted that the local scatterers appreciably affect wireless propagation channels and connected vehicle channels have no exception. This paper presents a general and highly efficient channel modeling method where electromagnetic (EM) scattering from local scatterers is calculated separately and then combined with ray tracing (RT) results; the method is named as layered-broadband channel model (LBCM) in this study and it is of great value as it could accurately simulate scatterer-included connected vehicle channels. The idea of the LBCM was arisen by the fact that EM scattering from scatterers displays point-scattering-like behaviors. Therefore, the scattering can be parameterized with a sparse point set and then the set could be efficiently implemented in broadband RT channel simulations. In order to validate the capability of proposed LBCM, a traffic sign was first taken as a typical example of local scatterers and its EM scattering was closely studied; then an urban intersection of typical vehicle-to-vehicle scenario was selected, where detailed comparisons were carried out between an LBCM-simulated channel and measured one. The validation processes present an integration of the full-wave simulation, analytical models, and measurement; and their results strongly confirm the feasibility and reliability of the LBCM.
No takes yet. Share an insight, caveat, or question.
Li et al. (2018) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: