Validation of a CommSense Based ISAC System Using In-Situ mmWave Propagation Model

With the imminent arrival of sixth-generation (6G) wireless networks, conventional communication-centric systems face challenges in meeting future demands. As transformative technologies need real-time and reliable sensing capabilities, Integrated Sensing and Communication (ISAC) emerges as a comprehensive framework, integrating communication and sensing functionalities in one system. Sensing the environment using the information from channel equalization, called Communication based Sensing (CommSense), has been an area of investigation by the authors for more than a decade. In this work, we validate a CommSense-based ISAC system using insitu mmWave propagation models. To do this, firstly, we verify the accuracy of our real-world measurements by validating the measured Received Signal Strength Indicator (RSSI) against a standard path loss model for the 60GHz band. Secondly, we derive an in-situ Cluster Delay Line (CDL) channel model by simulation, leveraging real map data to accurately represent dynamic wireless environments. Finally, we apply CommSense using the derived CDL channel and observe that it achieves good accuracy in real-time environmental sensing. The result is the facilitation of adaptive and context-aware communication strategies, enabling transformative applications such as intelligent traffic management, environmental monitoring, and IoT. Through our contributions, we demonstrate the potential of CommSense in achieving accurate sensing performance, opening avenues for the future of wireless networks.