A Unified Channel Model for Both Communication and Sensing in Integrated Sensing and Communication Systems

Integrated sensing and communication (lSAC) is envisaged to playa prominent role in the next generation wireless networks. Developing generic and accurate channel models for ISAC to characterize signal propagation is critical towards its successful research, standardization and deployment. In this paper, a unified approach to model an ISAC channel is proposed, which is intended to be applicable for both communication and sensing purposes. To generate the channel coefficients for sensing channels, differences from traditional communication channels including pathloss, line of sight probability, the Doppler effect and the fast fading effect are analyzed systematically. Implementations of the proposed model are carried out through simulations to demonstrate the feasibility and the accuracy.