The use of accurate sensing information about the environment is expected to play a key role in pushing the limits of future communication networks such as 6G to the next level, be it in terms of throughput, latency, or link robustness. One promising idea is the concept of Integrated Sensing and Communication (ISAC), aiming for a symbiotic combination of both in a single system. While such a combination is desirable for many reasons, such as efficient resource utilization of the available radio frequency spectrum, it requires fundamental design changes compared to the state-of-the-art approach of designing and optimizing individual systems. In addition, the expected benefits of ISAC make its implementation in mass-market consumer devices likely in the near future, with new challenges such as imperfect low-level hardware or massive multi-user communication scenarios that hinder the desire for accurate sensing information. 
 
 The aim of this research is to investigate and explore PHY layer based ISAC concepts with a focus on the deployment in real-world communication scenarios, using advanced signal processing and/or AI methods, exploring innovative sensor technologies, and implementing concepts on real hardware.