Clustering Analysis of Multipath Components in Urban Road Scenario for C-V2X Propagation Channels

Recently, the cellular vehicle-to-everything (C-V2X) communications have been widely investigated. The direct communication of terminals in the road environment is an important part of C-V2X. This paper focuses on the spatial distribution characteristics and clustering analysis of multipath components (MPCs) in the wireless channel when the terminal communicates directly. First, we obtain the MPCs based on measurement data, and use the K-means algorithm to cluster the MPCs. Then, according to the data processing results, the spatial characteristics of MPCs in urban roads scenario are analyzed. The results are useful for C-V2X channel modeling and communication system design.

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