Pervasive 6G systems: towards sustainable joint sensing and communication systems

This thesis explores Joint Sensing and Communication (JSC) systems' integration into 5G networks, enabling cooperative target detection, precise localization, and efficient sensing. Utilizing OFDM-based networks, the study addresses challenges and proposes solutions for high-accuracy sensing across varied scenarios. In monostatic systems, a cooperative framework integrates range-angle radar maps across multiple base stations (BSs), achieving precise localization while maintaining communication capacity. Bistatic configurations adapt 5G NR waveforms for robust localization despite DoA estimation limitations and blind zones. Expanding to multistatic systems, MISO and MIMO setups optimize spatial diversity, detection accuracy, and tracking precision through dual-mode operation. Techniques like dynamic role rotation, beamforming, and selective data fusion achieve sub-meter localization accuracy under adverse conditions. The thesis emphasizes resource management, clustering algorithms, and reliability mapping to balance sensing and communication performance, addressing blind zones, clutter, and resource constraints. These insights establish a framework for integrating JSC into mobile networks, advancing applications in autonomous systems, smart cities, and environmental monitoring.