LiDAR aided Simulation Pipeline for Wireless Communication in Vehicular Traffic Scenarios

Integrated Sensing and Communication (ISAC) is one new technology under development for Sixth Generation (6G) systems. This paper focuses on creating a simulation pipeline for dynamic vehicular traffic scenarios and a novel approach to reducing wireless communication overhead with a LiDAR-based system. The simulation pipeline can be used to generate data sets for numerous research. Additionally, developed error model for vehicle detection algorithms can be used to identify LiDAR performance with respect to different parameters like LiDAR height, range, and laser point density. A periodic beam index map is developed by capturing antenna azimuth and elevation angles which denote maximum Reference Signal Receive Power (RSRP) for a simulated receiver grid on the road and classifying areas using Support Vector Machine (SVM) algorithm to reduce the number of Synchronization Signal Blocks (SSBs) that needed to send in Vehicle to Infrastructure (V2I) communication.