A Geometry-Based ISAC Channel Model for Vehicle-to-Vehicle Scenarios

The integrated sensing and communication (ISAC) technique has recently gained significant attention in both academic and industrial sectors, as it can provide both sensing and communication functions using the same transmission and frequency spectrum. In this paper, a geometrically based statistical ISAC channel model for vehicle-to-vehicle (V2V) scenario is established, based on the ray tracing simulation in the highway scenario at 77 GHz. An improved multipath-component-distance (MCD) threshold-based clustering algorithm is proposed to jointly group the paths for sensing and communication channels as clusters. These clusters are matched with the physical interaction objects in the scenarios. Based on the clustering results, cluster-level parameters (i.e., intra-cluster delay, azimuth, and Doppler spread) were explored. Furthermore, the clusters contributed from the same physical interaction object in both the communication and the sensing channels are regarded as “sharing the sensing clusters”. To investigate the correlation and differences between communication and sensing channel, shared degree (SD) metric is analyzed.