Channel Characterization and Modeling for Wireless MIMO Communication Systems in Intersection Scenarios

As a typical communication scenario, the intersection scenario is not well defined and studied in 3GPP TR 38.901. Therefore, to provide higher-quality communication services, it is necessary to study more refined intersection scenarios. In this paper, we propose a new categorization of the intersection scenarios based on the physical environmental parameters. According to the classification results, the corresponding channel model parameters can be determined to build adaptive channel models, which can avoid further extensive channel measurements to study the channels. Besides, to verify the model accuracy, the synthetic data generated by the proposed channel models are compared with the channel data collected from the practical cell communication networks in Meishan City. The results show that the synthetic data are well matched with the collected channel data. Then, channel characteristics of all types of intersection scenarios are compared and analyzed to verify the reasonableness of the categorization.