6G Digital Twin Enabled Channel Modeling for Beijing Central Business District

Abstract: A novel digital twin (DT) enabled channel model for 6G vehicular communications in Beijing Central Business District (Beijing CBD) is proposed, which can support the design of intelligent transportation systems (ITSs). A DT space for Beijing CBD is constructed, and two typical transportation periods, i.e., peak and off-peak hours, are considered to characterize the vehicular communication channel better. Based on the constructed DT space, a DT-enabled vehicular communication dataset is developed, including light detection and ranging (LiDAR) point clouds, RGB images, and channel information. With the assistance of LiDAR point clouds and RGB images, the scatterer parameters, including number, distance, angle, power, and velocity, are analyzed under different transportation periods. The channel non-stationarity and consistency are mimicked in the proposed model. The key channel statistical properties are derived and simulated. Compared to ray-tracing (RT) results, the accuracy of the proposed model is verified.

Keywords: digital twin (DT); channel modeling; 6G vehicular communications; Beijing CBD; DT-enabled vehicular communication dataset