Integrated Sensing and Unsourced Random Access in Low-Scattering Environments

We study integrated sensing and communications (ISAC) in an unsourced random access (URA) scenario. In the proposed model, a multi-antenna base station (BS) senses and locates multiple uncooperative objects by leveraging unsourced packets from randomly positioned, single-antenna active users via multi-static sensing. The model is applied in a low-scattering environment, typical for high-frequency channels such as mmWave and Terahertz. Our study explores the tradeoff between sensing and communications, examining the balance between the number of active users supported for reliable communication and the number of objects supported for accurate sensing.