The project has already produced several results that go beyond the current state of the art in joint communication and sensing (JCAS), particularly in the context of future 6G systems where communication, sensing, security, and analytics must be jointly designed under realistic hardware, energy, and propagation constraints. Novel architectures for low-power sensing, entropy generation in sparse mmWave channels, and visible-light-based localisation demonstrate new design directions that depart from conventional communication-centric approaches. The neuromorphic sensing concept enables continuous environment awareness with very low energy consumption, the proposed physical-layer key generation framework introduces controlled randomness for secure operation even in static channels, and the VLC navigation platform shows that accurate localisation can be achieved with minimal infrastructure. In parallel, new system-level models, learning-based optimisation frameworks, and near-field massive-MIMO processing algorithms provide improved accuracy, robustness, and scalability compared to existing approaches, and have been validated through simulations and experiments on real hardware platforms.
These results have a strong potential impact on future wireless networks, autonomous systems, IoT sensing, and privacy-aware services, as they demonstrate that JCAS can be implemented efficiently on practical devices while meeting performance, energy, and security requirements. Continued collaboration with industrial partners which itakes place at 6thSense events, is essential to support technology transfer and dentify commercially relevant use cases.
