6G-MUSICAL - 6G MUltiband Wireless and Optical Signalling for Integrated CommunicAtions, Sensing and Localization

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6G-MUSICAL is a ground-breaking project that merges radio sensing and communication technologies to create new paradigms in RFcommunication. It aimsto equip edge infrastructure nodes of 6G with integrated RF/radar-based radio-sensing elementsthat co-work withcommunication components. This enables localization, object tracking and 3D imaging, with cm-level precision and resolution. As such,the project will investigate new spectrally and energy efficient system architectures and signals, to facilitate high-rate communicationacross multi-frequency bands integrated with accurate sensing and localization. Compared to other joint communication and sensingresearch, 6G-MUSICAL stands out in two ways. First, it considers sensing for both connected and non-connected objects, which isimportant given the trend towards connecting everything. Second, it addresses the synchronization of edge nodes, which is critical toachieving extreme levels of accuracy and resolution. The project will combine optical and electronic technologies to generate precise andstable references, enabling a network of smart cooperative multi-static radars, within future 6G, bringing new services, high accuracylocalization and high-resolution 3D object reconstruction. In the wireless domain, the project will define new waveforms suitable forradio-sensing and communications, exploit compressive sensing techniques and define cooperative multimode sensing and localizationalgorithms. In the network domain, focus will be on procedures for synchronization/calibration among edge nodes and on compressiontechniques to enable low overhead transport to a data fusion center of the collected information. The optical/electrical technology willdevelop and distribute the reference signals and will create novel antennas to address 6G requirements. Machine learning will be usedto jointly optimize the system and services. Key technologies will be demonstrated in labs to meet a stringent set of predefined KPIs.