A Scalable Hybrid Channel Model for ISAC Evaluation

Abstract:
ISAC is a new system concept combining communication and sensing. The channel models usually applied to evaluate communication systems have to be revised and extended for testing ISAC applications. The current work proposes a scalable hybrid channel model for ISAC that includes deterministic and stochastic contributions by a simplified raytracer tool and stochastic 3GPP TR.38.901 model. The requirements of the ISAC applications are discussed, which smoothly leads to the model’s scalability. Simulation results are provided to show the capabilities of the resulting hybrid channel model.