PROJECT TITLE :
A Nonstationary Wideband MIMO Channel Model for High-Mobility Intelligent Transportation Systems
The recent development of high-speed trains (HSTs), as a high-mobility intelligent transportation system, and therefore the growing demands of broad-band services for HST users, introduce new challenges to wireless Communication systems for HSTs. The deployment of mobile relay stations on top of the train carriages is one in every of the promising solutions for HST wireless systems. For a correct design and analysis of HST wireless Communication systems, we need correct channel models which will mimic the underlying channel characteristics for different HST scenarios. In this paper, a unique nonstationary geometry-primarily based stochastic model (GBSM) is proposed for wideband multiple-input multiple-output HST channels in rural macrocell situations. The corresponding simulation model is then developed with angle parameters calculated by the changed methodology of equal areas. Both channel models will conjointly be used to model nonstationary vehicle-to-infrastructure channels in vehicular Communication networks. The system functions and statistical properties of the proposed channel models are investigated based on a theoretical framework that describes nonstationary channels. Numerical and simulation results demonstrate that the proposed channel models have the aptitude to characterize the nonstationarity of HST channels. The statistical properties of the simulation model, verified by the simulation results, will match those of the proposed theoretical GBSM. An wonderful agreement is achieved between the stationary intervals of the proposed simulation model and those of relevant measurement information, demonstrating the utility of the proposed channel models.
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